-------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jonathanmonten/Dropbox/ccga survey project/Survey Experiment Paper/FPA/Replication/FPAReplication.log
  log type:  text
 opened on:  26 Jul 2018, 11:03:43

. 
. *** Clean Elite Dataset
. 
. use "AllGroups_dropINC_Anonymous.dta" 

. save "MultilateralismExperiment.dta", replace
file MultilateralismExperiment.dta saved

. 
. * Define Experimental Conditions
. 
. gen Condition = .
(484 missing values generated)

. replace Condition = 0 if condition == "UNILATERAL"
(231 real changes made)

. replace Condition = 1 if condition == "UN"
(209 real changes made)

. label variable Condition "Experimental Condition"

. label define condition 0 "Unilateral" 1 "UN"

. label values Condition condition

. 
. * Define New Group Variable With Consolidated Interest Group Category */
. 
. gen groupnew = 0

. replace groupnew = 1 if group == 1 /* academic */
(109 real changes made)

. replace groupnew = 4 if group == 2 /* business -> interest group category */ 
(25 real changes made)

. replace groupnew = 2 if group == 3 /* congress */
(53 real changes made)

. replace groupnew = 3 if group == 4 /* executive branch */
(50 real changes made)

. replace groupnew = 4 if group == 5 /* interest groups -> interest group category */
(32 real changes made)

. replace groupnew = 4 if group == 6 /* labor -> interest group category */
(7 real changes made)

. replace groupnew = 5 if group == 7 /* media */
(67 real changes made)

. replace groupnew = 4 if group == 8 /* religion -> interest group category */
(13 real changes made)

. replace groupnew = 6 if group == 9 /* think tank */
(128 real changes made)

. label variable groupnew "Professional Groups"

. label define groupnewlabels 1 "Academic" 2 "Congress" 3 "Executive" 4 "Interest Groups" 5 "Media" 6 "Think Tank"

. label values groupnew groupnewlabels

. 
. * Recode indicator variables for each scenario as 0 "Oppose" 1 "Favor" 
. 
. label define batteryfavoroppose 0 "Oppose" 1 "Favor"

. 
. gen KoreaForce = nq30_1
(58 missing values generated)

. recode KoreaForce (2=0)
(KoreaForce: 80 changes made)

. label values KoreaForce batteryfavoroppose

. label variable KoreaForce "If North Korea Invaded South Korea"

. 
. gen GenocideForce = nq30_2
(62 missing values generated)

. recode GenocideForce (2=0) 
(GenocideForce: 90 changes made)

. label values GenocideForce batteryfavoroppose

. label variable GenocideForce "To Stop a Government From Committing Genocide"

. 
. gen IsraelForce = nq30_3
(64 missing values generated)

. recode IsraelForce (2=0) 
(IsraelForce: 162 changes made)

. label values IsraelForce batteryfavoroppose

. label variable IsraelForce "If Israel Were Attacked"

. 
. gen IranForce = nq30_4
(63 missing values generated)

. recode IranForce (2=0) 
(IranForce: 233 changes made)

. label values IranForce batteryfavoroppose

. label variable IranForce "To Stop Iran from Obtaining Nuclear Weapons"

. 
. gen IraqSyriaForce = nq30_5
(63 missing values generated)

. recode IraqSyriaForce (2=0)
(IraqSyriaForce: 181 changes made)

. label values IraqSyriaForce batteryfavoroppose

. label variable IraqSyriaForce "To Fight Violent Islamic Extremist Groups in Iraq and Syria"

. 
. gen OilForce = nq30_6
(62 missing values generated)

. recode OilForce (2=0)
(OilForce: 300 changes made)

. label values OilForce batteryfavoroppose

. label variable OilForce "To Ensure the Oil Supply"

. 
. gen HumanForce = nq30_7
(62 missing values generated)

. recode HumanForce (2=0) 
(HumanForce: 118 changes made)

. label values HumanForce batteryfavorforce

. label variable HumanForce "To Deal with Humanitarian Crises"

. 
. gen AllScenarios = (KoreaForce + GenocideForce + IsraelForce + IranForce + IraqSyriaForce + OilForce + HumanForce)/7
(84 missing values generated)

. label variable AllScenarios "All Scenarios (Average)"

. 
. * Generate Indicator for Manipulation Check
. 
. gen correct = 0

. replace correct = 1 if Condition == 0 & nq30_common == 4
(201 real changes made)

. replace correct = 1 if Condition == 1 & nq30_common == 3
(182 real changes made)

. replace correct = . if nq30_common == .
(57 real changes made, 57 to missing)

. 
. * Generate Indicator for Elite Sample
. 
. gen elite = 1

. 
. * Generate Descriptive Variables for Appendix Tables
. 
. gen activepart = 0

. replace activepart = 1 if q2 == 1
(470 real changes made)

. 
. gen democrat = 0

. replace democrat = 1 if q1010 == 2
(211 real changes made)

. replace democrat = . if q1010 == .
(65 real changes made, 65 to missing)

. 
. gen male = 0

. replace male = 1 if gender == 1
(322 real changes made)

. replace male = . if gender == .
(69 real changes made, 69 to missing)

. 
. gen over45 = 0

. replace over45 = 1 if age == 3 | age == 4 | age == 5
(292 real changes made)

. replace over45 = . if age == . 
(69 real changes made, 69 to missing)

. 
. gen white = 0

. replace white = 1 if race == 1
(359 real changes made)

. replace white = . if race == .
(75 real changes made, 75 to missing)

. 
. gen postgrad = 0

. replace postgrad = 1 if edu == 4
(349 real changes made)

. replace postgrad = . if edu == .
(63 real changes made, 63 to missing)

. 
. gen strengthenunvery = 0

. replace strengthenunvery = 1 if q8_1 == 1 
(54 real changes made)

. replace strengthenunvery = . if q8_1 == .
(28 real changes made, 28 to missing)

. 
. gen superiormilapproachvery = 0

. replace superiormilapproachvery = 1 if q8_2 == 1 
(207 real changes made)

. replace superiormilapproachvery = . if q8_2 == .
(30 real changes made, 30 to missing)

. 
. save "MultilateralismExperiment.dta", replace
file MultilateralismExperiment.dta saved

. 
. *** Clean Public Dataset
. 
. use  "UTEX0032_OUTPUT.dta"

. save "UTEX0032_OUTPUT_premerge.dta", replace
file UTEX0032_OUTPUT_premerge.dta saved

. 
. * Define Experimental Conditions
. 
. gen Condition = .
(1,000 missing values generated)

. replace Condition = 0 if condition == 1
(499 real changes made)

. replace Condition = 1 if condition == 2
(501 real changes made)

. label variable Condition "Experimental Condition"

. label values Condition condition

. 
. * Recode dummy variables for each scenario as 0 "Oppose" 1 "Favor" 
. 
. gen KoreaForce = Q4_1

. recode KoreaForce (2=0)
(KoreaForce: 359 changes made)

. label values KoreaForce batteryfavoroppose

. label variable KoreaForce "If North Korea Invaded South Korea"

. 
. gen GenocideForce = Q4_2

. recode GenocideForce (2=0) 
(GenocideForce: 260 changes made)

. label values GenocideForce batteryfavoroppose

. label variable GenocideForce "To Stop a Government From Committing Genocide"

. 
. gen IsraelForce = Q4_3

. recode IsraelForce (2=0) 
(IsraelForce: 403 changes made)

. label values IsraelForce batteryfavoroppose

. label variable IsraelForce "If Israel Were Attacked"

. 
. gen IranForce = Q4_4

. recode IranForce (2=0) 
(IranForce: 324 changes made)

. label values IranForce batteryfavoroppose

. label variable IranForce "To Stop Iran from Obtaining Nuclear Weapons"

. 
. gen IraqSyriaForce = Q4_5

. recode IraqSyriaForce (2=0)
(IraqSyriaForce: 383 changes made)

. label values IraqSyriaForce batteryfavoroppose

. label variable IraqSyriaForce "To Fight Violent Islamic Extremist Groups in Iraq and Syria"

. 
. gen OilForce = Q4_6

. recode OilForce (2=0)
(OilForce: 577 changes made)

. label values OilForce batteryfavoroppose

. label variable OilForce "To Ensure the Oil Supply"

. 
. gen HumanForce = Q4_7

. recode HumanForce (2=0) 
(HumanForce: 301 changes made)

. label values HumanForce batteryfavorforce

. label variable HumanForce "To Deal with Humanitarian Crises"

. 
. gen AllScenarios = (KoreaForce + GenocideForce + IsraelForce + IranForce + IraqSyriaForce + OilForce + HumanForce)/7

. label variable AllScenarios "All Scenarios (Average)"

. 
. * Generate Indicator for Manipulation Check
. 
. gen correct = 0

. replace correct = 1 if Condition == 0 & Q4_COMMON == 4
(376 real changes made)

. replace correct = 1 if Condition == 1 & Q4_COMMON == 3
(340 real changes made)

. 
. * Generate Indicator for Elite Sample
. 
. gen elite = 0

. 
. * Generate Descriptive Variables for Appendix Tables
. 
. gen activepart = 0

. replace activepart = 1 if Q1 == 1
(707 real changes made)

. replace activepart = . if Q1 == 8
(5 real changes made, 5 to missing)

. 
. gen democrat = 0

. replace democrat = 1 if pid3 == 1
(374 real changes made)

. 
. gen male = 0

. replace male = 1 if gender == 1
(495 real changes made)

. 
. gen over45 = 0

. replace over45 = 1 if birthyr >= 1972
(460 real changes made)

. 
. gen white = 0

. replace white = 1 if race == 1
(683 real changes made)

. 
. gen postgrad = 0

. replace postgrad = 1 if educ == 6
(113 real changes made)

. 
. gen strengthenunvery = 0

. replace strengthenunvery = 1 if Q3_1 == 1 
(310 real changes made)

. 
. gen superiormilapproachvery = 0

. replace superiormilapproachvery = 1 if Q3_2 == 1 
(432 real changes made)

. 
. save "UTEX0032_OUTPUT_premerge.dta", replace
file UTEX0032_OUTPUT_premerge.dta saved

. 
. *** Merge Elite and Public Datasets
. 
. use "MultilateralismExperiment.dta"

. 
. append using "UTEX0032_OUTPUT_premerge.dta", ///
>  keep(Condition KoreaForce GenocideForce IsraelForce IranForce IraqSyriaForce OilForce HumanForce AllScenarios ///
>  activepart democrat male over45 white postgrad correct strengthenunvery superiormilapproachvery elite weight pid3)
(label race already defined)
(label gender already defined)
(label condition already defined)

.  
. *** Table 1. Effect of UNSC Authorization on Support for the Use of Force
. 
. * Elites
. tab KoreaForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        43         22 |        65 
           |     21.83      12.29 |     17.29 
-----------+----------------------+----------
     Favor |       154        157 |       311 
           |     78.17      87.71 |     82.71 
-----------+----------------------+----------
     Total |       197        179 |       376 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.9655   Pr = 0.015

. tab GenocideForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        54         21 |        75 
           |     27.98      11.73 |     20.16 
-----------+----------------------+----------
     Favor |       139        158 |       297 
           |     72.02      88.27 |     79.84 
-----------+----------------------+----------
     Total |       193        179 |       372 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  15.2302   Pr = 0.000

. tab IsraelForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        86         59 |       145 
           |     44.79      33.33 |     39.30 
-----------+----------------------+----------
     Favor |       106        118 |       224 
           |     55.21      66.67 |     60.70 
-----------+----------------------+----------
     Total |       192        177 |       369 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.0691   Pr = 0.024

. tab IranForce  Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       124         80 |       204 
           |     63.92      45.45 |     55.14 
-----------+----------------------+----------
     Favor |        70         96 |       166 
           |     36.08      54.55 |     44.86 
-----------+----------------------+----------
     Total |       194        176 |       370 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  12.7169   Pr = 0.000

. tab IraqSyriaForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       103         56 |       159 
           |     52.55      32.00 |     42.86 
-----------+----------------------+----------
     Favor |        93        119 |       212 
           |     47.45      68.00 |     57.14 
-----------+----------------------+----------
     Total |       196        175 |       371 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  15.9442   Pr = 0.000

. tab OilForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       141        119 |       260 
           |     72.31      67.61 |     70.08 
-----------+----------------------+----------
     Favor |        54         57 |       111 
           |     27.69      32.39 |     29.92 
-----------+----------------------+----------
     Total |       195        176 |       371 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.9721   Pr = 0.324

. tab HumanForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        72         30 |       102 
           |     37.50      16.76 |     27.49 
-----------+----------------------+----------
         1 |       120        149 |       269 
           |     62.50      83.24 |     72.51 
-----------+----------------------+----------
     Total |       192        179 |       371 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  19.9895   Pr = 0.000

. ttest AllScenarios if elite == 1 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |     187    .5416348    .0186196    .2546186    .5049022    .5783675
      UN |     166    .6884682    .0181183     .233438    .6526946    .7242418
---------+--------------------------------------------------------------------
combined |     353    .6106839    .0135892    .2553175    .5839578    .6374101
---------+--------------------------------------------------------------------
    diff |           -.1468333    .0261146               -.1981942   -.0954725
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -5.6226
Ho: diff = 0                                     degrees of freedom =      351

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 1.0000

. 
. * Public
. tab KoreaForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       122        107 |       229 
           |     32.45      31.47 |     31.98 
-----------+----------------------+----------
     Favor |       254        233 |       487 
           |     67.55      68.53 |     68.02 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.0782   Pr = 0.780

. tab GenocideForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       115         67 |       182 
           |     30.59      19.71 |     25.42 
-----------+----------------------+----------
     Favor |       261        273 |       534 
           |     69.41      80.29 |     74.58 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  11.1471   Pr = 0.001

. tab IsraelForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       154        115 |       269 
           |     40.96      33.82 |     37.57 
-----------+----------------------+----------
     Favor |       222        225 |       447 
           |     59.04      66.18 |     62.43 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   3.8741   Pr = 0.049

. tab IranForce  Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       137        115 |       252 
           |     36.44      33.82 |     35.20 
-----------+----------------------+----------
     Favor |       239        225 |       464 
           |     63.56      66.18 |     64.80 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.5343   Pr = 0.465

. tab IraqSyriaForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       159        120 |       279 
           |     42.29      35.29 |     38.97 
-----------+----------------------+----------
     Favor |       217        220 |       437 
           |     57.71      64.71 |     61.03 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   3.6714   Pr = 0.055

. tab OilForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       240        204 |       444 
           |     63.83      60.00 |     62.01 
-----------+----------------------+----------
     Favor |       136        136 |       272 
           |     36.17      40.00 |     37.99 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.1117   Pr = 0.292

. tab HumanForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |       132         90 |       222 
           |     35.11      26.47 |     31.01 
-----------+----------------------+----------
         1 |       244        250 |       494 
           |     64.89      73.53 |     68.99 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   6.2245   Pr = 0.013

. ttest AllScenarios if elite == 0 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |     376    .5976444    .0136555    .2647898    .5707935    .6244953
      UN |     340    .6563025    .0144911    .2672036    .6277986    .6848064
---------+--------------------------------------------------------------------
combined |     716    .6254988    .0099919    .2673642    .6058819    .6451157
---------+--------------------------------------------------------------------
    diff |           -.0586581    .0199024               -.0977323    -.019584
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -2.9473
Ho: diff = 0                                     degrees of freedom =      714

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0017         Pr(|T| > |t|) = 0.0033          Pr(T > t) = 0.9983

. 
. * Executive Branch Experience
. tab KoreaForce Condition if Exec == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        14          3 |        17 
           |     20.29       4.55 |     12.59 
-----------+----------------------+----------
     Favor |        55         63 |       118 
           |     79.71      95.45 |     87.41 
-----------+----------------------+----------
     Total |        69         66 |       135 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   7.5971   Pr = 0.006

. tab GenocideForce Condition if Exec == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        25         11 |        36 
           |     37.31      16.67 |     27.07 
-----------+----------------------+----------
     Favor |        42         55 |        97 
           |     62.69      83.33 |     72.93 
-----------+----------------------+----------
     Total |        67         66 |       133 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   7.1796   Pr = 0.007

. tab IsraelForce Condition if Exec == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        27         14 |        41 
           |     39.13      21.54 |     30.60 
-----------+----------------------+----------
     Favor |        42         51 |        93 
           |     60.87      78.46 |     69.40 
-----------+----------------------+----------
     Total |        69         65 |       134 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   4.8779   Pr = 0.027

. tab IranForce  Condition if Exec == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        46         19 |        65 
           |     65.71      29.69 |     48.51 
-----------+----------------------+----------
     Favor |        24         45 |        69 
           |     34.29      70.31 |     51.49 
-----------+----------------------+----------
     Total |        70         64 |       134 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  17.3729   Pr = 0.000

. tab IraqSyriaForce Condition if Exec == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        40         16 |        56 
           |     57.14      25.00 |     41.79 
-----------+----------------------+----------
     Favor |        30         48 |        78 
           |     42.86      75.00 |     58.21 
-----------+----------------------+----------
     Total |        70         64 |       134 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  14.1994   Pr = 0.000

. tab OilForce Condition if Exec == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        52         39 |        91 
           |     74.29      60.94 |     67.91 
-----------+----------------------+----------
     Favor |        18         25 |        43 
           |     25.71      39.06 |     32.09 
-----------+----------------------+----------
     Total |        70         64 |       134 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   2.7335   Pr = 0.098

. tab HumanForce Condition if Exec == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        35         13 |        48 
           |     51.47      19.70 |     35.82 
-----------+----------------------+----------
         1 |        33         53 |        86 
           |     48.53      80.30 |     64.18 
-----------+----------------------+----------
     Total |        68         66 |       134 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  14.7079   Pr = 0.000

. ttest AllScenarios if Exec == 1 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |      66    .5064935    .0311799    .2533069    .4442229    .5687641
      UN |      60    .7476191    .0261629    .2026573    .6952671     .799971
---------+--------------------------------------------------------------------
combined |     126    .6213152     .023123    .2595553    .5755519    .6670785
---------+--------------------------------------------------------------------
    diff |           -.2411255    .0411335               -.3225402   -.1597109
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -5.8620
Ho: diff = 0                                     degrees of freedom =      124

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 1.0000

. 
. *** Table 2. Effect of UNSC Authorization on Support for the Use of Force by Partisanship
. 
. * Elites: Republican
. tab KoreaForce Condition if elite == 1 & q1010 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |         3          5 |         8 
           |      8.57      17.86 |     12.70 
-----------+----------------------+----------
     Favor |        32         23 |        55 
           |     91.43      82.14 |     87.30 
-----------+----------------------+----------
     Total |        35         28 |        63 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.2099   Pr = 0.271

. tab GenocideForce Condition if elite == 1 & q1010 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        11          6 |        17 
           |     32.35      21.43 |     27.42 
-----------+----------------------+----------
     Favor |        23         22 |        45 
           |     67.65      78.57 |     72.58 
-----------+----------------------+----------
     Total |        34         28 |        62 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.9208   Pr = 0.337

. tab IsraelForce Condition if elite == 1 & q1010 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        10          5 |        15 
           |     29.41      17.86 |     24.19 
-----------+----------------------+----------
     Favor |        24         23 |        47 
           |     70.59      82.14 |     75.81 
-----------+----------------------+----------
     Total |        34         28 |        62 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.1178   Pr = 0.290

. tab IranForce  Condition if elite == 1 & q1010 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        15          5 |        20 
           |     44.12      17.86 |     32.26 
-----------+----------------------+----------
     Favor |        19         23 |        42 
           |     55.88      82.14 |     67.74 
-----------+----------------------+----------
     Total |        34         28 |        62 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   4.8457   Pr = 0.028

. tab IraqSyriaForce Condition if elite == 1 & q1010 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        11          4 |        15 
           |     32.35      14.29 |     24.19 
-----------+----------------------+----------
     Favor |        23         24 |        47 
           |     67.65      85.71 |     75.81 
-----------+----------------------+----------
     Total |        34         28 |        62 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   2.7329   Pr = 0.098

. tab OilForce Condition if elite == 1 & q1010 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        21         10 |        31 
           |     61.76      35.71 |     50.00 
-----------+----------------------+----------
     Favor |        13         18 |        31 
           |     38.24      64.29 |     50.00 
-----------+----------------------+----------
     Total |        34         28 |        62 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   4.1681   Pr = 0.041

. tab HumanForce Condition if elite == 1 & q1010 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        17          9 |        26 
           |     50.00      32.14 |     41.94 
-----------+----------------------+----------
         1 |        17         19 |        36 
           |     50.00      67.86 |     58.06 
-----------+----------------------+----------
     Total |        34         28 |        62 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   2.0108   Pr = 0.156

. ttest AllScenarios if elite == 1 & q1010 == 1 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |      34    .6302521    .0451825     .263457    .5383276    .7221766
      UN |      28    .7755102    .0495246    .2620593    .6738942    .8771262
---------+--------------------------------------------------------------------
combined |      62    .6958525    .0343741    .2706619    .6271173    .7645878
---------+--------------------------------------------------------------------
    diff |           -.1452581    .0670734                -.279425   -.0110912
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -2.1657
Ho: diff = 0                                     degrees of freedom =       60

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0172         Pr(|T| > |t|) = 0.0343          Pr(T > t) = 0.9828

. 
. * Elites: Democrat
. tab KoreaForce Condition if elite == 1 & q1010 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        20          9 |        29 
           |     22.22       9.47 |     15.68 
-----------+----------------------+----------
     Favor |        70         86 |       156 
           |     77.78      90.53 |     84.32 
-----------+----------------------+----------
     Total |        90         95 |       185 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.6825   Pr = 0.017

. tab GenocideForce Condition if elite == 1 & q1010 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        23          5 |        28 
           |     25.84       5.21 |     15.14 
-----------+----------------------+----------
     Favor |        66         91 |       157 
           |     74.16      94.79 |     84.86 
-----------+----------------------+----------
     Total |        89         96 |       185 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  15.3094   Pr = 0.000

. tab IsraelForce Condition if elite == 1 & q1010 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        41         30 |        71 
           |     46.59      32.26 |     39.23 
-----------+----------------------+----------
     Favor |        47         63 |       110 
           |     53.41      67.74 |     60.77 
-----------+----------------------+----------
     Total |        88         93 |       181 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   3.8963   Pr = 0.048

. tab IranForce  Condition if elite == 1 & q1010 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        71         49 |       120 
           |     79.78      51.58 |     65.22 
-----------+----------------------+----------
     Favor |        18         46 |        64 
           |     20.22      48.42 |     34.78 
-----------+----------------------+----------
     Total |        89         95 |       184 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  16.1048   Pr = 0.000

. tab IraqSyriaForce Condition if elite == 1 & q1010 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        53         30 |        83 
           |     58.24      32.26 |     45.11 
-----------+----------------------+----------
     Favor |        38         63 |       101 
           |     41.76      67.74 |     54.89 
-----------+----------------------+----------
     Total |        91         93 |       184 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  12.5414   Pr = 0.000

. tab OilForce Condition if elite == 1 & q1010 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        70         74 |       144 
           |     77.78      78.72 |     78.26 
-----------+----------------------+----------
     Favor |        20         20 |        40 
           |     22.22      21.28 |     21.74 
-----------+----------------------+----------
     Total |        90         94 |       184 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.0242   Pr = 0.876

. tab HumanForce Condition if elite == 1 & q1010 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        32         10 |        42 
           |     36.78      10.42 |     22.95 
-----------+----------------------+----------
         1 |        55         86 |       141 
           |     63.22      89.58 |     77.05 
-----------+----------------------+----------
     Total |        87         96 |       183 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  17.9402   Pr = 0.000

. ttest AllScenarios if elite == 1 & q1010 == 2 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |      85    .5058824    .0276309     .254744    .4509353    .5608294
      UN |      87    .6863711    .0217654    .2030137     .643103    .7296392
---------+--------------------------------------------------------------------
combined |     172    .5971761    .0188007    .2465692    .5600647    .6342875
---------+--------------------------------------------------------------------
    diff |           -.1804887    .0350821               -.2497414   -.1112361
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -5.1448
Ho: diff = 0                                     degrees of freedom =      170

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 1.0000

. 
. * Elites: Independent
. tab KoreaForce Condition if elite == 1 & q1010 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        15          7 |        22 
           |     25.00      16.67 |     21.57 
-----------+----------------------+----------
     Favor |        45         35 |        80 
           |     75.00      83.33 |     78.43 
-----------+----------------------+----------
     Total |        60         42 |       102 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.0142   Pr = 0.314

. tab GenocideForce Condition if elite == 1 & q1010 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        16         10 |        26 
           |     27.12      24.39 |     26.00 
-----------+----------------------+----------
     Favor |        43         31 |        74 
           |     72.88      75.61 |     74.00 
-----------+----------------------+----------
     Total |        59         41 |       100 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.0936   Pr = 0.760

. tab IsraelForce Condition if elite == 1 & q1010 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        28         18 |        46 
           |     48.28      42.86 |     46.00 
-----------+----------------------+----------
     Favor |        30         24 |        54 
           |     51.72      57.14 |     54.00 
-----------+----------------------+----------
     Total |        58         42 |       100 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.2880   Pr = 0.592

. tab IranForce  Condition if elite == 1 & q1010 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        31         19 |        50 
           |     52.54      48.72 |     51.02 
-----------+----------------------+----------
     Favor |        28         20 |        48 
           |     47.46      51.28 |     48.98 
-----------+----------------------+----------
     Total |        59         39 |        98 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.1374   Pr = 0.711

. tab IraqSyriaForce Condition if elite == 1 &  q1010 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        30         17 |        47 
           |     50.85      41.46 |     47.00 
-----------+----------------------+----------
     Favor |        29         24 |        53 
           |     49.15      58.54 |     53.00 
-----------+----------------------+----------
     Total |        59         41 |       100 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.8551   Pr = 0.355

. tab OilForce Condition if elite == 1 & q1010 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        43         25 |        68 
           |     72.88      62.50 |     68.69 
-----------+----------------------+----------
     Favor |        16         15 |        31 
           |     27.12      37.50 |     31.31 
-----------+----------------------+----------
     Total |        59         40 |        99 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.1945   Pr = 0.274

. tab HumanForce Condition if elite == 1 & q1010 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        17          8 |        25 
           |     28.81      19.51 |     25.00 
-----------+----------------------+----------
         1 |        42         33 |        75 
           |     71.19      80.49 |     75.00 
-----------+----------------------+----------
     Total |        59         41 |       100 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.1162   Pr = 0.291

. ttest AllScenarios if elite == 1 & q1010 == 3 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |      57    .5588973    .0318397    .2403846    .4951146    .6226799
      UN |      38    .6278196     .042609    .2626596    .5414855    .7141536
---------+--------------------------------------------------------------------
combined |      95    .5864662    .0256972    .2504652    .5354438    .6374885
---------+--------------------------------------------------------------------
    diff |           -.0689223    .0522489               -.1726782    .0348336
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -1.3191
Ho: diff = 0                                     degrees of freedom =       93

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0952         Pr(|T| > |t|) = 0.1904          Pr(T > t) = 0.9048

. 
. * Public: Republican
. tab KoreaForce Condition if elite == 0 & pid3 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        24         18 |        42 
           |     25.81      24.32 |     25.15 
-----------+----------------------+----------
     Favor |        69         56 |       125 
           |     74.19      75.68 |     74.85 
-----------+----------------------+----------
     Total |        93         74 |       167 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.0481   Pr = 0.826

. tab GenocideForce Condition if elite == 0 & pid3 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        32         21 |        53 
           |     34.41      28.38 |     31.74 
-----------+----------------------+----------
     Favor |        61         53 |       114 
           |     65.59      71.62 |     68.26 
-----------+----------------------+----------
     Total |        93         74 |       167 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.6917   Pr = 0.406

. tab IsraelForce Condition if elite == 0 & pid3 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        24         12 |        36 
           |     25.81      16.22 |     21.56 
-----------+----------------------+----------
     Favor |        69         62 |       131 
           |     74.19      83.78 |     78.44 
-----------+----------------------+----------
     Total |        93         74 |       167 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   2.2414   Pr = 0.134

. tab IranForce Condition if elite == 0 & pid3 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        16         13 |        29 
           |     17.20      17.57 |     17.37 
-----------+----------------------+----------
     Favor |        77         61 |       138 
           |     82.80      82.43 |     82.63 
-----------+----------------------+----------
     Total |        93         74 |       167 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.0038   Pr = 0.951

. tab IraqSyriaForce Condition if elite == 0 & pid3 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        27         14 |        41 
           |     29.03      18.92 |     24.55 
-----------+----------------------+----------
     Favor |        66         60 |       126 
           |     70.97      81.08 |     75.45 
-----------+----------------------+----------
     Total |        93         74 |       167 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   2.2754   Pr = 0.131

. tab OilForce Condition if elite == 0 & pid3 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        43         40 |        83 
           |     46.24      54.05 |     49.70 
-----------+----------------------+----------
     Favor |        50         34 |        84 
           |     53.76      45.95 |     50.30 
-----------+----------------------+----------
     Total |        93         74 |       167 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.0074   Pr = 0.316

. tab HumanForce Condition if elite == 0 & pid3 == 2 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        42         30 |        72 
           |     45.16      40.54 |     43.11 
-----------+----------------------+----------
         1 |        51         44 |        95 
           |     54.84      59.46 |     56.89 
-----------+----------------------+----------
     Total |        93         74 |       167 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.3588   Pr = 0.549

. ttest AllScenarios if elite == 0 & pid3 == 2 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |      93    .6804916    .0268746    .2591689    .6271164    .7338668
      UN |      74    .7142857    .0312201    .2685656    .6520641    .7765073
---------+--------------------------------------------------------------------
combined |     167    .6954662    .0203603    .2631124    .6552678    .7356646
---------+--------------------------------------------------------------------
    diff |           -.0337942    .0410264               -.1147985    .0472102
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -0.8237
Ho: diff = 0                                     degrees of freedom =      165

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.2056         Pr(|T| > |t|) = 0.4113          Pr(T > t) = 0.7944

. 
. * Public: Democrat 
. tab KoreaForce Condition if elite == 0 & pid3 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        43         39 |        82 
           |     34.68      29.32 |     31.91 
-----------+----------------------+----------
     Favor |        81         94 |       175 
           |     65.32      70.68 |     68.09 
-----------+----------------------+----------
     Total |       124        133 |       257 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.8467   Pr = 0.357

. tab GenocideForce Condition if elite == 0 & pid3 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        25         18 |        43 
           |     20.16      13.53 |     16.73 
-----------+----------------------+----------
     Favor |        99        115 |       214 
           |     79.84      86.47 |     83.27 
-----------+----------------------+----------
     Total |       124        133 |       257 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   2.0231   Pr = 0.155

. tab IsraelForce Condition if elite == 0 & pid3 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        62         53 |       115 
           |     50.00      39.85 |     44.75 
-----------+----------------------+----------
     Favor |        62         80 |       142 
           |     50.00      60.15 |     55.25 
-----------+----------------------+----------
     Total |       124        133 |       257 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   2.6741   Pr = 0.102

. tab IranForce Condition if elite == 0 & pid3 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        61         47 |       108 
           |     49.19      35.34 |     42.02 
-----------+----------------------+----------
     Favor |        63         86 |       149 
           |     50.81      64.66 |     57.98 
-----------+----------------------+----------
     Total |       124        133 |       257 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.0562   Pr = 0.025

. tab IraqSyriaForce Condition if elite == 0 & pid3 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        67         47 |       114 
           |     54.03      35.34 |     44.36 
-----------+----------------------+----------
     Favor |        57         86 |       143 
           |     45.97      64.66 |     55.64 
-----------+----------------------+----------
     Total |       124        133 |       257 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   9.0859   Pr = 0.003

. tab OilForce Condition if elite == 0 & pid3 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        91         79 |       170 
           |     73.39      59.40 |     66.15 
-----------+----------------------+----------
     Favor |        33         54 |        87 
           |     26.61      40.60 |     33.85 
-----------+----------------------+----------
     Total |       124        133 |       257 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.6077   Pr = 0.018

. tab HumanForce Condition if elite == 0 & pid3 == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        30         20 |        50 
           |     24.19      15.04 |     19.46 
-----------+----------------------+----------
         1 |        94        113 |       207 
           |     75.81      84.96 |     80.54 
-----------+----------------------+----------
     Total |       124        133 |       257 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   3.4330   Pr = 0.064

. ttest AllScenarios if elite == 0 & pid3 == 1 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |     124    .5633641    .0225671    .2512966    .5186939    .6080343
      UN |     133    .6745435    .0203631    .2348392    .6342632    .7148238
---------+--------------------------------------------------------------------
combined |     257    .6209005    .0155166    .2487499    .5903441    .6514569
---------+--------------------------------------------------------------------
    diff |           -.1111794    .0303241               -.1708969    -.051462
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -3.6664
Ho: diff = 0                                     degrees of freedom =      255

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0001         Pr(|T| > |t|) = 0.0003          Pr(T > t) = 0.9999

. 
. * Public: Independent 
. tab KoreaForce Condition if elite == 0 & pid3 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        39         26 |        65 
           |     31.45      28.26 |     30.09 
-----------+----------------------+----------
     Favor |        85         66 |       151 
           |     68.55      71.74 |     69.91 
-----------+----------------------+----------
     Total |       124         92 |       216 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.2556   Pr = 0.613

. tab GenocideForce Condition if elite == 0 & pid3 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        44         18 |        62 
           |     35.48      19.57 |     28.70 
-----------+----------------------+----------
     Favor |        80         74 |       154 
           |     64.52      80.43 |     71.30 
-----------+----------------------+----------
     Total |       124         92 |       216 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   6.5398   Pr = 0.011

. tab IsraelForce Condition if elite == 0 & pid3 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        53         27 |        80 
           |     42.74      29.35 |     37.04 
-----------+----------------------+----------
     Favor |        71         65 |       136 
           |     57.26      70.65 |     62.96 
-----------+----------------------+----------
     Total |       124         92 |       216 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   4.0631   Pr = 0.044

. tab IranForce Condition if elite == 0 & pid3 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        47         35 |        82 
           |     37.90      38.04 |     37.96 
-----------+----------------------+----------
     Favor |        77         57 |       134 
           |     62.10      61.96 |     62.04 
-----------+----------------------+----------
     Total |       124         92 |       216 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.0004   Pr = 0.983

. tab IraqSyriaForce Condition if elite == 0 & pid3 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        51         35 |        86 
           |     41.13      38.04 |     39.81 
-----------+----------------------+----------
     Favor |        73         57 |       130 
           |     58.87      61.96 |     60.19 
-----------+----------------------+----------
     Total |       124         92 |       216 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.2098   Pr = 0.647

. tab OilForce Condition if elite == 0 & pid3 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        89         61 |       150 
           |     71.77      66.30 |     69.44 
-----------+----------------------+----------
     Favor |        35         31 |        66 
           |     28.23      33.70 |     30.56 
-----------+----------------------+----------
     Total |       124         92 |       216 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.7447   Pr = 0.388

. tab HumanForce Condition if elite == 0 & pid3 == 3 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        49         24 |        73 
           |     39.52      26.09 |     33.80 
-----------+----------------------+----------
         1 |        75         68 |       143 
           |     60.48      73.91 |     66.20 
-----------+----------------------+----------
     Total |       124         92 |       216 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   4.2570   Pr = 0.039

. ttest AllScenarios if elite == 0 & pid3 == 3 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |     124    .5714286    .0242089    .2695793    .5235085    .6193487
      UN |      92    .6490683    .0280525    .2690702    .5933455    .7047912
---------+--------------------------------------------------------------------
combined |     216    .6044974    .0184717    .2714768    .5680886    .6409061
---------+--------------------------------------------------------------------
    diff |           -.0776398    .0370646               -.1506983   -.0045812
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -2.0947
Ho: diff = 0                                     degrees of freedom =      214

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0187         Pr(|T| > |t|) = 0.0374          Pr(T > t) = 0.9813

. 
. *** Appendix Table B1. Descriptive Statistics for Foreign Policy Elite and Public Samples
. 
. * Elites
. tab activepart if elite == 1

 activepart |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         14        2.89        2.89
          1 |        470       97.11      100.00
------------+-----------------------------------
      Total |        484      100.00

. tab strengthenunvery if elite == 1

strengthenu |
      nvery |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        402       88.16       88.16
          1 |         54       11.84      100.00
------------+-----------------------------------
      Total |        456      100.00

. tab superiormilapproachvery if elite == 1

superiormil |
approachver |
          y |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        247       54.41       54.41
          1 |        207       45.59      100.00
------------+-----------------------------------
      Total |        454      100.00

. tab democrat if elite == 1

   democrat |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        208       49.64       49.64
          1 |        211       50.36      100.00
------------+-----------------------------------
      Total |        419      100.00

. tab male if elite == 1

       male |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         93       22.41       22.41
          1 |        322       77.59      100.00
------------+-----------------------------------
      Total |        415      100.00

. tab over45 if elite == 1

     over45 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        123       29.64       29.64
          1 |        292       70.36      100.00
------------+-----------------------------------
      Total |        415      100.00

. tab white if elite == 1

      white |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         50       12.22       12.22
          1 |        359       87.78      100.00
------------+-----------------------------------
      Total |        409      100.00

. tab postgrad if elite == 1

   postgrad |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         72       17.10       17.10
          1 |        349       82.90      100.00
------------+-----------------------------------
      Total |        421      100.00

. 
. * Public
. tab activepart if elite == 0

 activepart |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        288       28.94       28.94
          1 |        707       71.06      100.00
------------+-----------------------------------
      Total |        995      100.00

. tab strengthenunvery if elite == 0

strengthenu |
      nvery |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        690       69.00       69.00
          1 |        310       31.00      100.00
------------+-----------------------------------
      Total |      1,000      100.00

. tab superiormilapproachvery if elite == 0

superiormil |
approachver |
          y |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        568       56.80       56.80
          1 |        432       43.20      100.00
------------+-----------------------------------
      Total |      1,000      100.00

. tab democrat if elite == 0

   democrat |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        626       62.60       62.60
          1 |        374       37.40      100.00
------------+-----------------------------------
      Total |      1,000      100.00

. tab male if elite == 0

       male |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        505       50.50       50.50
          1 |        495       49.50      100.00
------------+-----------------------------------
      Total |      1,000      100.00

. tab over45 if elite == 0

     over45 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        540       54.00       54.00
          1 |        460       46.00      100.00
------------+-----------------------------------
      Total |      1,000      100.00

. tab white if elite == 0

      white |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        317       31.70       31.70
          1 |        683       68.30      100.00
------------+-----------------------------------
      Total |      1,000      100.00

. tab postgrad if elite == 0

   postgrad |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        887       88.70       88.70
          1 |        113       11.30      100.00
------------+-----------------------------------
      Total |      1,000      100.00

. 
. * Executive Branch Experience 
. tab activepart if Exec == 1

 activepart |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |          2        1.28        1.28
          1 |        154       98.72      100.00
------------+-----------------------------------
      Total |        156      100.00

. tab strengthenunvery if Exec == 1

strengthenu |
      nvery |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        141       90.97       90.97
          1 |         14        9.03      100.00
------------+-----------------------------------
      Total |        155      100.00

. tab superiormilapproachvery if Exec == 1

superiormil |
approachver |
          y |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         72       46.45       46.45
          1 |         83       53.55      100.00
------------+-----------------------------------
      Total |        155      100.00

. tab democrat if Exec == 1

   democrat |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         77       52.03       52.03
          1 |         71       47.97      100.00
------------+-----------------------------------
      Total |        148      100.00

. tab male if Exec == 1

       male |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         33       22.15       22.15
          1 |        116       77.85      100.00
------------+-----------------------------------
      Total |        149      100.00

. tab over45 if Exec == 1

     over45 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         29       19.33       19.33
          1 |        121       80.67      100.00
------------+-----------------------------------
      Total |        150      100.00

. tab white if Exec == 1

      white |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         16       10.88       10.88
          1 |        131       89.12      100.00
------------+-----------------------------------
      Total |        147      100.00

. tab postgrad if Exec == 1

   postgrad |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         10        6.62        6.62
          1 |        141       93.38      100.00
------------+-----------------------------------
      Total |        151      100.00

. 
. *** Table B2. Covariate Balance Across Treatment and Control Groups 
. 
. * Elites
. prtest activepart if elite == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      231
                                                  UN: Number of obs =      209
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |    .969697   .0112786                      .9475913    .9918026
          UN |   .9665072   .0124453                      .9421148    .9908995
-------------+----------------------------------------------------------------
        diff |   .0031898   .0167956                      -.029729    .0361086
             |  under Ho:   .0167557     0.19   0.849
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.1904
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.5755         Pr(|Z| > |z|) = 0.8490          Pr(Z > z) = 0.4245

. prtest strengthenunvery if elite == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      231
                                                  UN: Number of obs =      209
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .1212121   .0214738                      .0791242       .1633
          UN |   .1196172   .0224471                      .0756218    .1636127
-------------+----------------------------------------------------------------
        diff |   .0015949   .0310644                     -.0592901    .0624799
             |  under Ho:   .0310733     0.05   0.959
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.0513
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.5205         Pr(|Z| > |z|) = 0.9591          Pr(Z > z) = 0.4795

. prtest superiormilapproachvery if elite == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      230
                                                  UN: Number of obs =      209
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4782609   .0329378                      .4137039    .5428179
          UN |   .4258373   .0342032                      .3588004    .4928743
-------------+----------------------------------------------------------------
        diff |   .0524235   .0474843                     -.0406439     .145491
             |  under Ho:   .0475733     1.10   0.270
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.1020
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8648         Pr(|Z| > |z|) = 0.2705          Pr(Z > z) = 0.1352

. prtest democrat if elite == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      219
                                                  UN: Number of obs =      200
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4794521   .0337583                       .413287    .5456172
          UN |        .53   .0352916                      .4608297    .5991703
-------------+----------------------------------------------------------------
        diff |  -.0505479   .0488377                     -.1462682    .0451723
             |  under Ho:   .0489022    -1.03   0.301
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -1.0337
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.1506         Pr(|Z| > |z|) = 0.3013          Pr(Z > z) = 0.8494

. prtest male if elite == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      218
                                                  UN: Number of obs =      197
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .7706422   .0284744                      .7148334     .826451
          UN |   .7817259   .0294303                      .7240435    .8394083
-------------+----------------------------------------------------------------
        diff |  -.0110837   .0409504                      -.091345    .0691777
             |  under Ho:   .0409906    -0.27   0.787
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.2704
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.3934         Pr(|Z| > |z|) = 0.7869          Pr(Z > z) = 0.6066

. prtest over45 if elite == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      218
                                                  UN: Number of obs =      197
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .7110092   .0307009                      .6508365    .7711819
          UN |   .6954315   .0327896                       .631165     .759698
-------------+----------------------------------------------------------------
        diff |   .0155777   .0449189                     -.0724617    .1036171
             |  under Ho:   .0448909     0.35   0.729
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.3470
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.6357         Pr(|Z| > |z|) = 0.7286          Pr(Z > z) = 0.3643

. prtest white if elite == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      214
                                                  UN: Number of obs =      195
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .8691589   .0230523                      .8239771    .9143406
          UN |   .8871795    .022656                      .8427746    .9315844
-------------+----------------------------------------------------------------
        diff |  -.0180206   .0323219                     -.0813703    .0453291
             |  under Ho:     .03243    -0.56   0.578
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.5557
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.2892         Pr(|Z| > |z|) = 0.5784          Pr(Z > z) = 0.7108

. prtest postgrad if elite == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      218
                                                  UN: Number of obs =      203
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |    .853211   .0239688                       .806233     .900189
          UN |   .8029557   .0279177                       .748238    .8576734
-------------+----------------------------------------------------------------
        diff |   .0502553   .0367954                     -.0218624     .122373
             |  under Ho:    .036725     1.37   0.171
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.3684
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.9144         Pr(|Z| > |z|) = 0.1712          Pr(Z > z) = 0.0856

. 
. * Public
. prtest activepart if elite == 0, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      496
                                                  UN: Number of obs =      499
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .7116935   .0203392                      .6718295    .7515576
          UN |   .7094188   .0203252                      .6695822    .7492555
-------------+----------------------------------------------------------------
        diff |   .0022747    .028754                     -.0540822    .0586316
             |  under Ho:   .0287543     0.08   0.937
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.0791
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.5315         Pr(|Z| > |z|) = 0.9369          Pr(Z > z) = 0.4685

. prtest strengthenunvery if elite == 0, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      499
                                                  UN: Number of obs =      501
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .3266533   .0209948                      .2855042    .3678024
          UN |   .2934132   .0203425                      .2535427    .3332837
-------------+----------------------------------------------------------------
        diff |   .0332401   .0292335                     -.0240565    .0905368
             |  under Ho:   .0292507     1.14   0.256
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.1364
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8721         Pr(|Z| > |z|) = 0.2558          Pr(Z > z) = 0.1279

. prtest superiormilapproachvery if elite == 0, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      499
                                                  UN: Number of obs =      501
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4348697   .0221924                      .3913735     .478366
          UN |   .4291417   .0221129                      .3858012    .4724822
-------------+----------------------------------------------------------------
        diff |    .005728   .0313286                     -.0556749     .067131
             |  under Ho:    .031329     0.18   0.855
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.1828
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.5725         Pr(|Z| > |z|) = 0.8549          Pr(Z > z) = 0.4275

. prtest democrat if elite == 0, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      499
                                                  UN: Number of obs =      501
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .3607214   .0214971                      .3185878    .4028551
          UN |   .3872255   .0217627                      .3445714    .4298797
-------------+----------------------------------------------------------------
        diff |  -.0265041   .0305899                     -.0864593    .0334511
             |  under Ho:   .0306023    -0.87   0.386
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.8661
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.1932         Pr(|Z| > |z|) = 0.3864          Pr(Z > z) = 0.8068

. prtest male if elite == 0, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      499
                                                  UN: Number of obs =      501
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .5210421   .0223632                      .4772109    .5648732
          UN |   .4690619   .0222955                      .4253634    .5127603
-------------+----------------------------------------------------------------
        diff |   .0519802   .0315786                     -.0099127    .1138731
             |  under Ho:   .0316213     1.64   0.100
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.6438
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.9499         Pr(|Z| > |z|) = 0.1002          Pr(Z > z) = 0.0501

. prtest over45 if elite == 0, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      499
                                                  UN: Number of obs =      501
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4468938   .0222565                      .4032719    .4905157
          UN |   .4730539   .0223059                      .4293352    .5167726
-------------+----------------------------------------------------------------
        diff |  -.0261601   .0315104                     -.0879193    .0355991
             |  under Ho:   .0315215    -0.83   0.407
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.8299
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.2033         Pr(|Z| > |z|) = 0.4066          Pr(Z > z) = 0.7967

. prtest white if elite == 0, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      499
                                                  UN: Number of obs =      501
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .7014028   .0204869                      .6612492    .7415564
          UN |   .6646707   .0210921                      .6233309    .7060104
-------------+----------------------------------------------------------------
        diff |   .0367321   .0294039                     -.0208985    .0943628
             |  under Ho:   .0294287     1.25   0.212
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.2482
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8940         Pr(|Z| > |z|) = 0.2120          Pr(Z > z) = 0.1060

. prtest postgrad if elite == 0, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      499
                                                  UN: Number of obs =      501
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .1002004   .0134418                       .073855    .1265458
          UN |   .1257485   .0148133                       .096715     .154782
-------------+----------------------------------------------------------------
        diff |  -.0255481   .0200029                      -.064753    .0136568
             |  under Ho:   .0200231    -1.28   0.202
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -1.2759
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.1010         Pr(|Z| > |z|) = 0.2020          Pr(Z > z) = 0.8990

. 
. * Executive Branch Experience
. prtest activepart if Exec == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       78
                                                  UN: Number of obs =       75
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |          1          0                             1           1
          UN |   .9733333   .0186031                       .936872    1.009795
-------------+----------------------------------------------------------------
        diff |   .0266667   .0186031                     -.0097947     .063128
             |  under Ho:   .0183688     1.45   0.147
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.4517
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.9267         Pr(|Z| > |z|) = 0.1466          Pr(Z > z) = 0.0733

. prtest strengthenunvery if Exec == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       78
                                                  UN: Number of obs =       75
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .1538462   .0408527                      .0737763     .233916
          UN |   .0133333   .0132441                     -.0126247    .0392914
-------------+----------------------------------------------------------------
        diff |   .1405128   .0429459                      .0563404    .2246852
             |  under Ho:   .0450933     3.12   0.002
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   3.1160
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.9991         Pr(|Z| > |z|) = 0.0018          Pr(Z > z) = 0.0009

. prtest superiormilapproachvery if Exec == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       78
                                                  UN: Number of obs =       75
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |    .525641   .0565394                      .4148259    .6364561
          UN |   .5333333   .0576066                      .4204265    .6462402
-------------+----------------------------------------------------------------
        diff |  -.0076923   .0807169                     -.1658945    .1505099
             |  under Ho:   .0807207    -0.10   0.924
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.0953
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.4620         Pr(|Z| > |z|) = 0.9241          Pr(Z > z) = 0.5380

. prtest democrat if Exec == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       76
                                                  UN: Number of obs =       72
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4736842   .0572744                      .3614284    .5859401
          UN |   .4861111   .0589028                      .3706637    .6015585
-------------+----------------------------------------------------------------
        diff |  -.0124269   .0821578                     -.1734532    .1485994
             |  under Ho:   .0821619    -0.15   0.880
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.1512
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.4399         Pr(|Z| > |z|) = 0.8798          Pr(Z > z) = 0.5601

. prtest male if Exec == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       77
                                                  UN: Number of obs =       72
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .7532468   .0491309                       .656952    .8495415
          UN |   .8055556   .0466422                      .7141385    .8969726
-------------+----------------------------------------------------------------
        diff |  -.0523088   .0677447                     -.1850859    .0804683
             |  under Ho:    .068074    -0.77   0.442
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.7684
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.2211         Pr(|Z| > |z|) = 0.4422          Pr(Z > z) = 0.7789

. prtest over45 if Exec == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       77
                                                  UN: Number of obs =       73
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .8311688   .0426899                      .7474981    .9148396
          UN |   .7808219   .0484187                       .685923    .8757208
-------------+----------------------------------------------------------------
        diff |   .0503469   .0645508                     -.0761703    .1768641
             |  under Ho:   .0645118     0.78   0.435
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.7804
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.7824         Pr(|Z| > |z|) = 0.4351          Pr(Z > z) = 0.2176

. prtest white if Exec == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       76
                                                  UN: Number of obs =       71
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .9078947   .0331706                      .8428816    .9729079
          UN |   .8732394   .0394848                      .7958507    .9506282
-------------+----------------------------------------------------------------
        diff |   .0346553   .0515687                     -.0664176    .1357282
             |  under Ho:   .0514045     0.67   0.500
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.6742
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.7499         Pr(|Z| > |z|) = 0.5002          Pr(Z > z) = 0.2501

. prtest postgrad if Exec == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       77
                                                  UN: Number of obs =       74
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |    .961039   .0220516                      .9178186    1.004259
          UN |   .9054054   .0340204                      .8387267    .9720841
-------------+----------------------------------------------------------------
        diff |   .0556336   .0405421                     -.0238274    .1350945
             |  under Ho:   .0404818     1.37   0.169
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.3743
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.9153         Pr(|Z| > |z|) = 0.1694          Pr(Z > z) = 0.0847

. 
. * Table B3. Covariate Balance: Excluding Respondents that Failed Manipulation Check
. 
. * Elites
. prtest activepart if elite == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      201
                                                  UN: Number of obs =      182
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .9651741   .0129317                      .9398285    .9905198
          UN |    .967033    .013235                      .9410928    .9929731
-------------+----------------------------------------------------------------
        diff |  -.0018588   .0185039                     -.0381259    .0344082
             |  under Ho:   .0185285    -0.10   0.920
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.1003
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.4600         Pr(|Z| > |z|) = 0.9201          Pr(Z > z) = 0.5400

. prtest strengthenunvery if elite == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      201
                                                  UN: Number of obs =      182
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .1094527   .0220213                      .0662917    .1526138
          UN |   .1263736   .0246295                      .0781007    .1746465
-------------+----------------------------------------------------------------
        diff |  -.0169209   .0330386                     -.0816754    .0478336
             |  under Ho:   .0329482    -0.51   0.608
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.5136
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.3038         Pr(|Z| > |z|) = 0.6076          Pr(Z > z) = 0.6962

. prtest superiormilapproachvery if elite == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      201
                                                  UN: Number of obs =      182
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4825871   .0352459                      .4135064    .5516677
          UN |   .4230769   .0366212                      .3513006    .4948532
-------------+----------------------------------------------------------------
        diff |   .0595101    .050827                      -.040109    .1591293
             |  under Ho:   .0509465     1.17   0.243
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.1681
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8786         Pr(|Z| > |z|) = 0.2428          Pr(Z > z) = 0.1214

. prtest democrat if elite == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      193
                                                  UN: Number of obs =      175
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4766839   .0359516                        .40622    .5471478
          UN |   .5485714   .0376177                      .4748421    .6223007
-------------+----------------------------------------------------------------
        diff |  -.0718875   .0520347                     -.1738736    .0300987
             |  under Ho:   .0521787    -1.38   0.168
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -1.3777
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.0841         Pr(|Z| > |z|) = 0.1683          Pr(Z > z) = 0.9159

. prtest male if elite == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      192
                                                  UN: Number of obs =      172
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |    .765625   .0305712                      .7057065    .8255435
          UN |   .7732558   .0319275                       .710679    .8358326
-------------+----------------------------------------------------------------
        diff |  -.0076308   .0442037                     -.0942685    .0790069
             |  under Ho:   .0442337    -0.17   0.863
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.1725
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.4315         Pr(|Z| > |z|) = 0.8630          Pr(Z > z) = 0.5685

. prtest over45 if elite == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      192
                                                  UN: Number of obs =      173
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .6822917   .0336007                      .6164354    .7481479
          UN |   .6820809   .0354041                      .6126902    .7514716
-------------+----------------------------------------------------------------
        diff |   .0002107   .0488104                     -.0954559    .0958774
             |  under Ho:     .04881     0.00   0.997
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.0043
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.5017         Pr(|Z| > |z|) = 0.9966          Pr(Z > z) = 0.4983

. prtest white if elite == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      188
                                                  UN: Number of obs =      170
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .8882979   .0229737                      .8432702    .9333255
          UN |   .8882353   .0241653                      .8408722    .9355984
-------------+----------------------------------------------------------------
        diff |   .0000626   .0333429                     -.0652884    .0654136
             |  under Ho:   .0333425     0.00   0.999
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.0019
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.5007         Pr(|Z| > |z|) = 0.9985          Pr(Z > z) = 0.4993

. prtest postgrad if elite == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      192
                                                  UN: Number of obs =      177
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |    .859375   .0250883                      .8102027    .9085473
          UN |    .819209   .0289267                      .7625137    .8759044
-------------+----------------------------------------------------------------
        diff |    .040166   .0382907                     -.0348825    .1152144
             |  under Ho:   .0381906     1.05   0.293
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.0517
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8535         Pr(|Z| > |z|) = 0.2929          Pr(Z > z) = 0.1465

. 
. * Public
. prtest activepart if elite == 0 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      374
                                                  UN: Number of obs =      340
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .7245989   .0230991                      .6793254    .7698724
          UN |   .7441176   .0236647                      .6977356    .7904997
-------------+----------------------------------------------------------------
        diff |  -.0195187   .0330695                     -.0843337    .0452962
             |  under Ho:   .0331145    -0.59   0.556
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.5894
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.2778         Pr(|Z| > |z|) = 0.5556          Pr(Z > z) = 0.7222

. prtest strengthenunvery if elite == 0 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      376
                                                  UN: Number of obs =      340
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .3058511   .0237622                      .2592779    .3524242
          UN |   .2941176   .0247108                      .2456853      .34255
-------------+----------------------------------------------------------------
        diff |   .0117334   .0342822                     -.0554585    .0789253
             |  under Ho:   .0343043     0.34   0.732
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.3420
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.6338         Pr(|Z| > |z|) = 0.7323          Pr(Z > z) = 0.3662

. prtest superiormilapproachvery if elite == 0 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      376
                                                  UN: Number of obs =      340
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4414894   .0256084                      .3912979    .4916808
          UN |   .4264706   .0268215                      .3739014    .4790397
-------------+----------------------------------------------------------------
        diff |   .0150188   .0370834                     -.0576634     .087701
             |  under Ho:   .0370952     0.40   0.686
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.4049
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.6572         Pr(|Z| > |z|) = 0.6856          Pr(Z > z) = 0.3428

. prtest democrat if elite == 0 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      376
                                                  UN: Number of obs =      340
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .3297872   .0242454                      .2822671    .3773073
          UN |   .3911765   .0264663                      .3393035    .4430494
-------------+----------------------------------------------------------------
        diff |  -.0613892   .0358929                     -.1317381    .0089596
             |  under Ho:   .0358991    -1.71   0.087
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -1.7101
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.0436         Pr(|Z| > |z|) = 0.0873          Pr(Z > z) = 0.9564

. prtest male if elite == 0 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      376
                                                  UN: Number of obs =      340
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .5106383   .0257797                       .460111    .5611656
          UN |   .4735294   .0270783                       .420457    .5266019
-------------+----------------------------------------------------------------
        diff |   .0371089   .0373875                     -.0361693    .1103871
             |  under Ho:   .0374154     0.99   0.321
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.9918
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8394         Pr(|Z| > |z|) = 0.3213          Pr(Z > z) = 0.1606

. prtest over45 if elite == 0 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      376
                                                  UN: Number of obs =      340
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |    .412234   .0253852                        .36248    .4619881
          UN |   .4411765    .026928                      .3883986    .4939544
-------------+----------------------------------------------------------------
        diff |  -.0289424   .0370071                      -.101475    .0435901
             |  under Ho:   .0370067    -0.78   0.434
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.7821
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.2171         Pr(|Z| > |z|) = 0.4342          Pr(Z > z) = 0.7829

. prtest white if elite == 0 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      376
                                                  UN: Number of obs =      340
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .7526596   .0222512                      .7090481    .7962711
          UN |   .7176471   .0244125                      .6697994    .7654947
-------------+----------------------------------------------------------------
        diff |   .0350125   .0330316                     -.0297282    .0997532
             |  under Ho:   .0329873     1.06   0.289
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.0614
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8557         Pr(|Z| > |z|) = 0.2885          Pr(Z > z) = 0.1443

. prtest postgrad if elite == 0 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =      376
                                                  UN: Number of obs =      340
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .1170213   .0165773                      .0845304    .1495122
          UN |   .1529412     .01952                      .1146827    .1911996
-------------+----------------------------------------------------------------
        diff |  -.0359199   .0256093                     -.0861132    .0142734
             |  under Ho:   .0255001    -1.41   0.159
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -1.4086
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.0795         Pr(|Z| > |z|) = 0.1589          Pr(Z > z) = 0.9205

. 
. * Executive Branch Experience
. prtest activepart if Exec == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       71
                                                  UN: Number of obs =       67
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |          1          0                             1           1
          UN |   .9850746   .0148136                      .9560406    1.014109
-------------+----------------------------------------------------------------
        diff |   .0149254   .0148136                     -.0141087    .0439594
             |  under Ho:   .0144462     1.03   0.302
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.0332
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8492         Pr(|Z| > |z|) = 0.3015          Pr(Z > z) = 0.1508

. prtest strengthenunvery if Exec == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       71
                                                  UN: Number of obs =       67
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .1267606   .0394848                      .0493718    .2041493
          UN |   .0149254   .0148136                     -.0141087    .0439594
-------------+----------------------------------------------------------------
        diff |   .1118352   .0421721                      .0291793     .194491
             |  under Ho:   .0441569     2.53   0.011
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   2.5327
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.9943         Pr(|Z| > |z|) = 0.0113          Pr(Z > z) = 0.0057

. prtest superiormilapproachvery if Exec ==1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       71
                                                  UN: Number of obs =       67
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .5352113   .0591918                      .4191976     .651225
          UN |   .5223881   .0610235                      .4027843    .6419918
-------------+----------------------------------------------------------------
        diff |   .0128232   .0850149                     -.1538029    .1794493
             |  under Ho:   .0850182     0.15   0.880
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.1508
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.5599         Pr(|Z| > |z|) = 0.8801          Pr(Z > z) = 0.4401

. prtest democrat if Exec == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       70
                                                  UN: Number of obs =       65
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .4857143    .059737                      .3686319    .6027967
          UN |   .5076923     .06201                      .3861549    .6292297
-------------+----------------------------------------------------------------
        diff |   -.021978   .0861032                     -.1907371    .1467811
             |  under Ho:    .086123    -0.26   0.799
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.2552
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.3993         Pr(|Z| > |z|) = 0.7986          Pr(Z > z) = 0.6007

. prtest male if Exec == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       71
                                                  UN: Number of obs =       65
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .7746479   .0495854                      .6774623    .8718335
          UN |   .8153846   .0481236                       .721064    .9097052
-------------+----------------------------------------------------------------
        diff |  -.0407367   .0690985                     -.1761672    .0946938
             |  under Ho:   .0694122    -0.59   0.557
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =  -0.5869
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.2786         Pr(|Z| > |z|) = 0.5573          Pr(Z > z) = 0.7214

. prtest over45 if Exec == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       71
                                                  UN: Number of obs =       66
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .8169014   .0458985                      .7269421    .9068607
          UN |   .7575758   .0527508                      .6541861    .8609654
-------------+----------------------------------------------------------------
        diff |   .0593257   .0699236                     -.0777222    .1963735
             |  under Ho:   .0698473     0.85   0.396
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.8494
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8022         Pr(|Z| > |z|) = 0.3957          Pr(Z > z) = 0.1978

. prtest white if Exec == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       70
                                                  UN: Number of obs =       63
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .9285714   .0307818                      .8682401    .9889027
          UN |   .8730159   .0419484                      .7907985    .9552332
-------------+----------------------------------------------------------------
        diff |   .0555556   .0520307                     -.0464227    .1575338
             |  under Ho:   .0515724     1.08   0.281
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   1.0772
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.8593         Pr(|Z| > |z|) = 0.2814          Pr(Z > z) = 0.1407

. prtest postgrad if Exec == 1 & correct == 1, by(Condition)

Two-sample test of proportions            Unilateral: Number of obs =       71
                                                  UN: Number of obs =       66
------------------------------------------------------------------------------
       Group |       Mean   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Unilateral |   .9577465   .0238741                       .910954    1.004539
          UN |   .9242424   .0325712                       .860404    .9880808
-------------+----------------------------------------------------------------
        diff |   .0335041   .0403839                     -.0456469     .112655
             |  under Ho:   .0400939     0.84   0.403
------------------------------------------------------------------------------
        diff = prop(Unilateral) - prop(UN)                        z =   0.8356
    Ho: diff = 0

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(Z < z) = 0.7983         Pr(|Z| > |z|) = 0.4034          Pr(Z > z) = 0.2017

. 
. *** Table B4. Effect of UNSC Authorization on Support for the Use of Force: Alternative Weighting (Elite Sample)
. 
. * No Weights
. tab KoreaForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        43         22 |        65 
           |     21.83      12.29 |     17.29 
-----------+----------------------+----------
     Favor |       154        157 |       311 
           |     78.17      87.71 |     82.71 
-----------+----------------------+----------
     Total |       197        179 |       376 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.9655   Pr = 0.015

. tab GenocideForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        54         21 |        75 
           |     27.98      11.73 |     20.16 
-----------+----------------------+----------
     Favor |       139        158 |       297 
           |     72.02      88.27 |     79.84 
-----------+----------------------+----------
     Total |       193        179 |       372 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  15.2302   Pr = 0.000

. tab IsraelForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        86         59 |       145 
           |     44.79      33.33 |     39.30 
-----------+----------------------+----------
     Favor |       106        118 |       224 
           |     55.21      66.67 |     60.70 
-----------+----------------------+----------
     Total |       192        177 |       369 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.0691   Pr = 0.024

. tab IranForce  Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       124         80 |       204 
           |     63.92      45.45 |     55.14 
-----------+----------------------+----------
     Favor |        70         96 |       166 
           |     36.08      54.55 |     44.86 
-----------+----------------------+----------
     Total |       194        176 |       370 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  12.7169   Pr = 0.000

. tab IraqSyriaForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       103         56 |       159 
           |     52.55      32.00 |     42.86 
-----------+----------------------+----------
     Favor |        93        119 |       212 
           |     47.45      68.00 |     57.14 
-----------+----------------------+----------
     Total |       196        175 |       371 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  15.9442   Pr = 0.000

. tab OilForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       141        119 |       260 
           |     72.31      67.61 |     70.08 
-----------+----------------------+----------
     Favor |        54         57 |       111 
           |     27.69      32.39 |     29.92 
-----------+----------------------+----------
     Total |       195        176 |       371 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.9721   Pr = 0.324

. tab HumanForce Condition if elite == 1 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        72         30 |       102 
           |     37.50      16.76 |     27.49 
-----------+----------------------+----------
         1 |       120        149 |       269 
           |     62.50      83.24 |     72.51 
-----------+----------------------+----------
     Total |       192        179 |       371 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  19.9895   Pr = 0.000

. ttest AllScenarios if elite == 1 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |     187    .5416348    .0186196    .2546186    .5049022    .5783675
      UN |     166    .6884682    .0181183     .233438    .6526946    .7242418
---------+--------------------------------------------------------------------
combined |     353    .6106839    .0135892    .2553175    .5839578    .6374101
---------+--------------------------------------------------------------------
    diff |           -.1468333    .0261146               -.1981942   -.0954725
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -5.6226
Ho: diff = 0                                     degrees of freedom =      351

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 1.0000

. 
. * Equal Group Weights
. 
. /* Add Equal Weights (With Aggregated Interest Group) */ 
. /* Weights Calculated by Authors */
. gen equalwt=.
(1,484 missing values generated)

. replace equalwt = 0.7401 if groupnew==1
(109 real changes made)

. replace equalwt = 0.4862 if groupnew==2
(53 real changes made)

. replace equalwt = 0.6198 if groupnew==3
(50 real changes made)

. replace equalwt = 0.9545 if groupnew==4
(77 real changes made)

. replace equalwt = 0.8306 if groupnew==5
(67 real changes made)

. replace equalwt = 1.5868 if groupnew==6
(128 real changes made)

. label var equalwt "Equal Weight (Combined Interest Group Category)

. 
. svyset [iweight = equalwt]

      iweight: equalwt
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: tab Condition KoreaForce if elite == 1 & correct == 1, row
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        376
Number of PSUs     =       376                  Population size   = 368.558701
                                                Design df         =        375

----------------------------------
Experimen | If North Korea Invaded
tal       |      South Korea      
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .2145   .7855       1
       UN |  .1161   .8839       1
          | 
    Total |  .1682   .8318       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    6.4750
    Design-based  F(1, 375)       =    5.8594     P = 0.0160

. svy: tab Condition GenocideForce if elite == 1 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        372
Number of PSUs     =       372                  Population size   = 365.340201
                                                Design df         =        371

----------------------------------
          |  To Stop a Government 
Experimen |    From Committing    
tal       |        Genocide       
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .2801   .7199       1
       UN |  .1299   .8701       1
          | 
    Total |  .2086   .7914       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =   12.6666
    Design-based  F(1, 371)       =   10.1747     P = 0.0015

. svy: tab Condition IsraelForce if elite == 1 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        369
Number of PSUs     =       369                  Population size   = 361.594101
                                                Design df         =        368

----------------------------------
Experimen |
tal       |If Israel Were Attacked
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .4323   .5677       1
       UN |    .35     .65       1
          | 
    Total |  .3932   .6068       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    2.6147
    Design-based  F(1, 368)       =    2.2286     P = 0.1363

. svy: tab Condition IranForce if elite == 1 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        370
Number of PSUs     =       370                  Population size   = 362.802501
                                                Design df         =        369

----------------------------------
          |   To Stop Iran from   
Experimen |   Obtaining Nuclear   
tal       |        Weapons        
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .6434   .3566       1
       UN |  .4554   .5446       1
          | 
    Total |   .555    .445       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =   13.1918
    Design-based  F(1, 369)       =   11.3479     P = 0.0008

. svy: tab Condition IraqSyriaForce if elite == 1 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        371
Number of PSUs     =       371                  Population size   = 363.887001
                                                Design df         =        370

----------------------------------
          |    To Fight Violent   
          |   Islamic Extremist   
Experimen |   Groups in Iraq and  
tal       |         Syria         
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .5422   .4578       1
       UN |  .3203   .6797       1
          | 
    Total |  .4385   .5615       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =   18.4603
    Design-based  F(1, 370)       =   15.8294     P = 0.0001

. svy: tab Condition OilForce if elite == 1 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        371
Number of PSUs     =       371                  Population size   = 363.030601
                                                Design df         =        370

----------------------------------
Experimen |   To Ensure the Oil   
tal       |         Supply        
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .6938   .3062       1
       UN |  .6908   .3092       1
          | 
    Total |  .6924   .3076       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    0.0038
    Design-based  F(1, 370)       =    0.0032     P = 0.9546

. svy: tab Condition HumanForce if elite == 1 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        371
Number of PSUs     =       371                  Population size   = 363.288701
                                                Design df         =        370

-------------------------------
Experimen |    To Deal with    
tal       | Humanitarian Crises
Condition |     0      1  Total
----------+--------------------
 Unilater | .3937  .6063      1
       UN | .1698  .8302      1
          | 
    Total | .2867  .7133      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =   22.7056
    Design-based  F(1, 370)       =   18.9603     P = 0.0000

. svy: mean AllScenarios if elite == 1 & correct == 1, over(Condition)
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1        Number of obs   =        353
Number of PSUs   =     353        Population size = 345.624201
                                  Design df       =        352

   Unilateral: Condition = Unilateral
           UN: Condition = UN

--------------------------------------------------------------
             |             Linearized
        Over |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
AllScenarios |
  Unilateral |   .5433796   .0199521      .5041393    .5826199
          UN |   .6826346   .0204861       .642344    .7229252
--------------------------------------------------------------

.  svy: regress AllScenarios Condition if elite == 1 & correct == 1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        353
Number of PSUs     =       353                  Population size   = 345.624201
                                                Design df         =        352
                                                F(   1,    352)   =      23.71
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0734

------------------------------------------------------------------------------
             |             Linearized
AllScenarios |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   Condition |    .139255   .0285966     4.87   0.000     .0830133    .1954968
       _cons |   .5433796   .0199521    27.23   0.000     .5041393    .5826199
------------------------------------------------------------------------------

. 
. *** Table B5. Effect of UNSC Authorization on Support for the Use of Force: Alternative Weighting (Public Sample) 
. 
. * No Weights
. tab KoreaForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       122        107 |       229 
           |     32.45      31.47 |     31.98 
-----------+----------------------+----------
     Favor |       254        233 |       487 
           |     67.55      68.53 |     68.02 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.0782   Pr = 0.780

. tab GenocideForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       115         67 |       182 
           |     30.59      19.71 |     25.42 
-----------+----------------------+----------
     Favor |       261        273 |       534 
           |     69.41      80.29 |     74.58 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  11.1471   Pr = 0.001

. tab IsraelForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       154        115 |       269 
           |     40.96      33.82 |     37.57 
-----------+----------------------+----------
     Favor |       222        225 |       447 
           |     59.04      66.18 |     62.43 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   3.8741   Pr = 0.049

. tab IranForce  Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       137        115 |       252 
           |     36.44      33.82 |     35.20 
-----------+----------------------+----------
     Favor |       239        225 |       464 
           |     63.56      66.18 |     64.80 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.5343   Pr = 0.465

. tab IraqSyriaForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       159        120 |       279 
           |     42.29      35.29 |     38.97 
-----------+----------------------+----------
     Favor |       217        220 |       437 
           |     57.71      64.71 |     61.03 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   3.6714   Pr = 0.055

. tab OilForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       240        204 |       444 
           |     63.83      60.00 |     62.01 
-----------+----------------------+----------
     Favor |       136        136 |       272 
           |     36.17      40.00 |     37.99 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.1117   Pr = 0.292

. tab HumanForce Condition if elite == 0 & correct == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |       132         90 |       222 
           |     35.11      26.47 |     31.01 
-----------+----------------------+----------
         1 |       244        250 |       494 
           |     64.89      73.53 |     68.99 
-----------+----------------------+----------
     Total |       376        340 |       716 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   6.2245   Pr = 0.013

. ttest AllScenarios if elite == 0 & correct == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |     376    .5976444    .0136555    .2647898    .5707935    .6244953
      UN |     340    .6563025    .0144911    .2672036    .6277986    .6848064
---------+--------------------------------------------------------------------
combined |     716    .6254988    .0099919    .2673642    .6058819    .6451157
---------+--------------------------------------------------------------------
    diff |           -.0586581    .0199024               -.0977323    -.019584
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -2.9473
Ho: diff = 0                                     degrees of freedom =      714

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0017         Pr(|T| > |t|) = 0.0033          Pr(T > t) = 0.9983

. 
. * Population Weights
. svyset [pweight = weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: tab Condition KoreaForce if elite == 0 & correct == 1, row
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        716
Number of PSUs     =       716                  Population size   = 681.568733
                                                Design df         =        715

----------------------------------
Experimen | If North Korea Invaded
tal       |      South Korea      
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .3314   .6686       1
       UN |  .3011   .6989       1
          | 
    Total |  .3174   .6826       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    0.7513
    Design-based  F(1, 715)       =    0.4171     P = 0.5186

. svy: tab Condition GenocideForce if elite == 0 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        716
Number of PSUs     =       716                  Population size   = 681.568733
                                                Design df         =        715

----------------------------------
          |  To Stop a Government 
Experimen |    From Committing    
tal       |        Genocide       
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .3044   .6956       1
       UN |  .1883   .8117       1
          | 
    Total |  .2507   .7493       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =   12.7812
    Design-based  F(1, 715)       =    7.3198     P = 0.0070

. svy: tab Condition IsraelForce if elite == 0 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        716
Number of PSUs     =       716                  Population size   = 681.568733
                                                Design df         =        715

----------------------------------
Experimen |
tal       |If Israel Were Attacked
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .3937   .6063       1
       UN |  .3223   .6777       1
          | 
    Total |  .3607   .6393       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    3.9379
    Design-based  F(1, 715)       =    2.2825     P = 0.1313

. svy: tab Condition IranForce if elite == 0 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        716
Number of PSUs     =       716                  Population size   = 681.568733
                                                Design df         =        715

----------------------------------
          |   To Stop Iran from   
Experimen |   Obtaining Nuclear   
tal       |        Weapons        
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .3345   .6655       1
       UN |  .2999   .7001       1
          | 
    Total |  .3185   .6815       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    0.9832
    Design-based  F(1, 715)       =    0.6017     P = 0.4382

. svy: tab Condition IraqSyriaForce if elite == 0 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        716
Number of PSUs     =       716                  Population size   = 681.568733
                                                Design df         =        715

----------------------------------
          |    To Fight Violent   
          |   Islamic Extremist   
Experimen |   Groups in Iraq and  
tal       |         Syria         
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .3874   .6126       1
       UN |  .2961   .7039       1
          | 
    Total |  .3452   .6548       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    6.5624
    Design-based  F(1, 715)       =    3.9892     P = 0.0462

. svy: tab Condition OilForce if elite == 0 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        716
Number of PSUs     =       716                  Population size   = 681.568733
                                                Design df         =        715

----------------------------------
Experimen |   To Ensure the Oil   
tal       |         Supply        
Condition | Oppose   Favor   Total
----------+-----------------------
 Unilater |  .6177   .3823       1
       UN |  .5647   .4353       1
          | 
    Total |  .5932   .4068       1
----------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    2.0751
    Design-based  F(1, 715)       =    1.0963     P = 0.2954

. svy: tab Condition HumanForce if elite == 0 & correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        716
Number of PSUs     =       716                  Population size   = 681.568733
                                                Design df         =        715

-------------------------------
Experimen |    To Deal with    
tal       | Humanitarian Crises
Condition |     0      1  Total
----------+--------------------
 Unilater | .3157  .6843      1
       UN | .2587  .7413      1
          | 
    Total | .2893  .7107      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    2.8147
    Design-based  F(1, 715)       =    1.6033     P = 0.2058

. svy: mean AllScenarios if elite == 0 & correct == 1, over(Condition)
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1        Number of obs   =        716
Number of PSUs   =     716        Population size = 681.568733
                                  Design df       =        715

   Unilateral: Condition = Unilateral
           UN: Condition = UN

--------------------------------------------------------------
             |             Linearized
        Over |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
AllScenarios |
  Unilateral |    .616456   .0223026      .5726695    .6602425
          UN |   .6812858    .019229      .6435336    .7190379
--------------------------------------------------------------

.  svy: regress AllScenarios Condition if elite == 0 & correct == 1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        716
Number of PSUs     =       716                  Population size   = 681.568733
                                                Design df         =        715
                                                F(   1,    715)   =       4.85
                                                Prob > F          =     0.0280
                                                R-squared         =     0.0138

------------------------------------------------------------------------------
             |             Linearized
AllScenarios |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   Condition |   .0648298   .0294476     2.20   0.028     .0070156    .1226439
       _cons |    .616456   .0223026    27.64   0.000     .5726695    .6602425
------------------------------------------------------------------------------

. 
. save "MultilateralismExperiment.dta", replace
file MultilateralismExperiment.dta saved

. 
. * Within-Condition Weights
. 
. /* Clean Public Dataset Including Within-Condition Weights */
. use "UTEX0032_OUTPUT_New.dta"

. save "UTEX0032_OUTPUT_withinconditionweights.dta", replace
file UTEX0032_OUTPUT_withinconditionweights.dta saved

. 
. gen Condition = .
(1,000 missing values generated)

. replace Condition = 0 if condition == 1
(500 real changes made)

. replace Condition = 1 if condition == 2
(500 real changes made)

. label variable Condition "Experimental Condition"

. label values Condition condition

. 
. gen KoreaForce = Q4_1

. recode KoreaForce (2=0)
(KoreaForce: 360 changes made)

. label values KoreaForce batteryfavoroppose

. label variable KoreaForce "If North Korea Invaded South Korea"

. 
. gen GenocideForce = Q4_2

. recode GenocideForce (2=0) 
(GenocideForce: 260 changes made)

. label values GenocideForce batteryfavoroppose

. label variable GenocideForce "To Stop a Government From Committing Genocide"

. 
. gen IsraelForce = Q4_3

. recode IsraelForce (2=0) 
(IsraelForce: 404 changes made)

. label values IsraelForce batteryfavoroppose

. label variable IsraelForce "If Israel Were Attacked"

. 
. gen IranForce = Q4_4

. recode IranForce (2=0) 
(IranForce: 325 changes made)

. label values IranForce batteryfavoroppose

. label variable IranForce "To Stop Iran from Obtaining Nuclear Weapons"

. 
. gen IraqSyriaForce = Q4_5

. recode IraqSyriaForce (2=0)
(IraqSyriaForce: 384 changes made)

. label values IraqSyriaForce batteryfavoroppose

. label variable IraqSyriaForce "To Fight Violent Islamic Extremist Groups in Iraq and Syria"

. 
. gen OilForce = Q4_6

. recode OilForce (2=0)
(OilForce: 578 changes made)

. label values OilForce batteryfavoroppose

. label variable OilForce "To Ensure the Oil Supply"

. 
. gen HumanForce = Q4_7

. recode HumanForce (2=0) 
(HumanForce: 301 changes made)

. label values HumanForce batteryfavorforce

. label variable HumanForce "To Deal with Humanitarian Crises"

. 
. gen AllScenarios = (KoreaForce + GenocideForce + IsraelForce + IranForce + IraqSyriaForce + OilForce + HumanForce)/7

. label variable AllScenarios "All Scenarios (Average)"

. 
. gen correct = 0

. replace correct = 1 if Condition == 0 & Q4_COMMON == 4
(377 real changes made)

. replace correct = 1 if Condition == 1 & Q4_COMMON == 3
(340 real changes made)

. 
. save "UTEX0032_OUTPUT_withinconditionweights.dta", replace
file UTEX0032_OUTPUT_withinconditionweights.dta saved

. 
. /* Appendix Table B5 Columns (5) and (6) */
. svyset [pweight = weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: tab Condition KoreaForce if correct == 1, row
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 697.272815
                                                Design df         =        716

-------------------------------
Experimen |   If North Korea   
tal       | Invaded South Korea
Condition |     0      1  Total
----------+--------------------
        0 | .3285  .6715      1
 1, Sendi | .2911  .7089      1
          | 
    Total | .3105  .6895      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    1.1729
    Design-based  F(1, 716)       =    0.7125     P = 0.3989

. svy: tab Condition GenocideForce if correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 697.272815
                                                Design df         =        716

-------------------------------
          |To Stop a Government
Experimen |   From Committing  
tal       |      Genocide      
Condition |     0      1  Total
----------+--------------------
        0 | .2928  .7072      1
 1, Sendi | .2007  .7993      1
          | 
    Total | .2483  .7517      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    8.1327
    Design-based  F(1, 716)       =    4.7030     P = 0.0304

. svy: tab Condition IsraelForce if correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 697.272815
                                                Design df         =        716

-------------------------------
Experimen |   If Israel Were   
tal       |      Attacked      
Condition |     0      1  Total
----------+--------------------
        0 |  .383   .617      1
 1, Sendi | .3243  .6757      1
          | 
    Total | .3546  .6454      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    2.6950
    Design-based  F(1, 716)       =    1.6348     P = 0.2015

. svy: tab Condition IranForce if correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 697.272815
                                                Design df         =        716

-------------------------------
          |  To Stop Iran from 
Experimen |  Obtaining Nuclear 
tal       |       Weapons      
Condition |     0      1  Total
----------+--------------------
        0 |  .327   .673      1
 1, Sendi | .3189  .6811      1
          | 
    Total | .3231  .6769      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    0.0532
    Design-based  F(1, 716)       =    0.0325     P = 0.8569

. svy: tab Condition IraqSyriaForce if correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 697.272815
                                                Design df         =        716

-------------------------------
          |  To Fight Violent  
          |  Islamic Extremist 
Experimen | Groups in Iraq and 
tal       |        Syria       
Condition |     0      1  Total
----------+--------------------
        0 | .3792  .6208      1
 1, Sendi | .2992  .7008      1
          | 
    Total | .3406  .6594      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    5.1099
    Design-based  F(1, 716)       =    3.3235     P = 0.0687

. svy: tab Condition OilForce if correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 697.272815
                                                Design df         =        716

-------------------------------
Experimen |  To Ensure the Oil 
tal       |       Supply       
Condition |     0      1  Total
----------+--------------------
        0 | .6102  .3898      1
 1, Sendi | .5809  .4191      1
          | 
    Total | .5961  .4039      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    0.6394
    Design-based  F(1, 716)       =    0.3571     P = 0.5503

. svy: tab Condition HumanForce if correct == 1, row 
(running tabulate on estimation sample)

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 697.272815
                                                Design df         =        716

-------------------------------
Experimen |    To Deal with    
tal       | Humanitarian Crises
Condition |     0      1  Total
----------+--------------------
        0 | .3158  .6842      1
 1, Sendi | .2648  .7352      1
          | 
    Total | .2912  .7088      1
-------------------------------
  Key:  row proportion

  Pearson:
    Uncorrected   chi2(1)         =    2.2595
    Design-based  F(1, 716)       =    1.3712     P = 0.2420

. svy: mean AllScenarios if correct == 1, over(Condition)
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1        Number of obs   =        717
Number of PSUs   =     717        Population size = 697.272815
                                  Design df       =        716

    _subpop_1: Condition = 0
    _subpop_2: Condition = 1, Sending US troops unilaterall

--------------------------------------------------------------
             |             Linearized
        Over |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
AllScenarios |
   _subpop_1 |   .6233531   .0200328       .584023    .6626832
   _subpop_2 |   .6743117   .0179959      .6389807    .7096427
--------------------------------------------------------------

.  svy: regress AllScenarios Condition if correct == 1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        717
Number of PSUs     =       717                  Population size   = 697.272815
                                                Design df         =        716
                                                F(   1,    716)   =       3.58
                                                Prob > F          =     0.0588
                                                R-squared         =     0.0090

------------------------------------------------------------------------------
             |             Linearized
AllScenarios |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   Condition |   .0509586   .0269289     1.89   0.059    -.0019105    .1038276
       _cons |   .6233531   .0200328    31.12   0.000      .584023    .6626832
------------------------------------------------------------------------------

. 
. *** Table B6. Differential Effect of UNSC Authorization on Elite and Public Support for the Use of Force
. use "MultilateralismExperiment.dta"

. 
. * Column (1)
. logit KoreaForce C.Condition##C.elite if correct == 1

Iteration 0:   log likelihood = -636.08153  
Iteration 1:   log likelihood = -619.12239  
Iteration 2:   log likelihood = -618.78663  
Iteration 3:   log likelihood = -618.78627  
Iteration 4:   log likelihood = -618.78627  

Logistic regression                             Number of obs     =      1,092
                                                LR chi2(3)        =      34.59
                                                Prob > chi2       =     0.0000
Log likelihood = -618.78627                     Pseudo R2         =     0.0272

-------------------------------------------------------------------------------------
         KoreaForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          Condition |   .0448964   .1605346     0.28   0.780    -.2697457    .3595385
              elite |   .5424393   .2046535     2.65   0.008     .1413258    .9435527
                    |
c.Condition#c.elite |   .6445545    .327635     1.97   0.049     .0024018    1.286707
                    |
              _cons |   .7333132   .1101532     6.66   0.000     .5174169    .9492095
-------------------------------------------------------------------------------------

. logit GenocideForce C.Condition##C.elite if correct == 1

Iteration 0:   log likelihood =   -594.783  
Iteration 1:   log likelihood = -579.76355  
Iteration 2:   log likelihood = -579.38044  
Iteration 3:   log likelihood = -579.37907  
Iteration 4:   log likelihood = -579.37907  

Logistic regression                             Number of obs     =      1,088
                                                LR chi2(3)        =      30.81
                                                Prob > chi2       =     0.0000
Log likelihood = -579.37907                     Pseudo R2         =     0.0259

-------------------------------------------------------------------------------------
      GenocideForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          Condition |   .5851909   .1763957     3.32   0.001     .2394617    .9309201
              elite |   .1259016   .1955501     0.64   0.520    -.2573695    .5091727
                    |
c.Condition#c.elite |   .4873918   .3328308     1.46   0.143    -.1649447    1.139728
                    |
              _cons |   .8195883   .1119244     7.32   0.000     .6002205    1.038956
-------------------------------------------------------------------------------------

. logit IsraelForce C.Condition##C.elite if correct == 1

Iteration 0:   log likelihood = -721.33616  
Iteration 1:   log likelihood = -716.69875  
Iteration 2:   log likelihood = -716.69587  
Iteration 3:   log likelihood = -716.69587  

Logistic regression                             Number of obs     =      1,085
                                                LR chi2(3)        =       9.28
                                                Prob > chi2       =     0.0258
Log likelihood = -716.69587                     Pseudo R2         =     0.0064

-------------------------------------------------------------------------------------
        IsraelForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          Condition |   .3054435   .1553644     1.97   0.049     .0009348    .6099522
              elite |   -.156633   .1790527    -0.87   0.382    -.5075699    .1943039
                    |
c.Condition#c.elite |   .1786119   .2657512     0.67   0.502    -.3422509    .6994747
                    |
              _cons |   .3657248   .1048714     3.49   0.000     .1601806     .571269
-------------------------------------------------------------------------------------

. logit IranForce C.Condition##C.elite if correct == 1

Iteration 0:   log likelihood = -738.75835  
Iteration 1:   log likelihood = -712.29363  
Iteration 2:   log likelihood = -712.28559  
Iteration 3:   log likelihood = -712.28559  

Logistic regression                             Number of obs     =      1,086
                                                LR chi2(3)        =      52.95
                                                Prob > chi2       =     0.0000
Log likelihood = -712.28559                     Pseudo R2         =     0.0358

-------------------------------------------------------------------------------------
          IranForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          Condition |   .1146856   .1569187     0.73   0.465    -.1928693    .4222406
              elite |  -1.128269   .1839391    -6.13   0.000    -1.488783   -.7677549
                    |
c.Condition#c.elite |   .6394222   .2643679     2.42   0.016     .1212708    1.157574
                    |
              _cons |   .5564826   .1071605     5.19   0.000     .3464519    .7665133
-------------------------------------------------------------------------------------

. logit IraqSyriaForce C.Condition##C.elite if correct == 1

Iteration 0:   log likelihood = -732.84156  
Iteration 1:   log likelihood =  -722.1909  
Iteration 2:   log likelihood = -722.18025  
Iteration 3:   log likelihood = -722.18025  

Logistic regression                             Number of obs     =      1,087
                                                LR chi2(3)        =      21.32
                                                Prob > chi2       =     0.0001
Log likelihood = -722.18025                     Pseudo R2         =     0.0145

-------------------------------------------------------------------------------------
     IraqSyriaForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          Condition |   .2951427   .1541959     1.91   0.056    -.0070759    .5973612
              elite |  -.4131226   .1770848    -2.33   0.020    -.7602025   -.0660428
                    |
c.Condition#c.elite |   .5607586   .2655152     2.11   0.035     .0403584    1.081159
                    |
              _cons |   .3109932   .1043916     2.98   0.003     .1063894    .5155969
-------------------------------------------------------------------------------------

. logit OilForce C.Condition##C.elite if correct == 1

Iteration 0:   log likelihood = -705.33991  
Iteration 1:   log likelihood =  -700.7749  
Iteration 2:   log likelihood = -700.76527  
Iteration 3:   log likelihood = -700.76527  

Logistic regression                             Number of obs     =      1,087
                                                LR chi2(3)        =       9.15
                                                Prob > chi2       =     0.0274
Log likelihood = -700.76527                     Pseudo R2         =     0.0065

-------------------------------------------------------------------------------------
           OilForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          Condition |   .1625189   .1541898     1.05   0.292    -.1396876    .4647255
              elite |  -.3917918   .1926923    -2.03   0.042    -.7694618   -.0141218
                    |
c.Condition#c.elite |   .0611847   .2744676     0.22   0.824    -.4767619    .5991312
                    |
              _cons |   -.567984   .1073294    -5.29   0.000    -.7783459   -.3576222
-------------------------------------------------------------------------------------

. logit HumanForce C.Condition##C.elite if correct == 1    

Iteration 0:   log likelihood =  -662.2205  
Iteration 1:   log likelihood = -648.32857  
Iteration 2:   log likelihood = -648.11858  
Iteration 3:   log likelihood = -648.11831  
Iteration 4:   log likelihood = -648.11831  

Logistic regression                             Number of obs     =      1,087
                                                LR chi2(3)        =      28.20
                                                Prob > chi2       =     0.0000
Log likelihood = -648.11831                     Pseudo R2         =     0.0213

-------------------------------------------------------------------------------------
         HumanForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          Condition |   .4072849   .1636619     2.49   0.013     .0865134    .7280564
              elite |  -.1035407   .1841096    -0.56   0.574    -.4643888    .2573075
                    |
c.Condition#c.elite |   .6846384   .2984161     2.29   0.022     .0997535    1.269523
                    |
              _cons |   .6143663   .1080468     5.69   0.000     .4025984    .8261342
-------------------------------------------------------------------------------------

. reg AllScenarios C.Condition##C.elite if correct == 1  

      Source |       SS           df       MS      Number of obs   =     1,069
-------------+----------------------------------   F(3, 1065)      =     12.71
       Model |  2.56217334         3  .854057781   Prob > F        =    0.0000
    Residual |  71.5463389     1,065  .067179661   R-squared       =    0.0346
-------------+----------------------------------   Adj R-squared   =    0.0319
       Total |  74.1085122     1,068  .069389993   Root MSE        =    .25919

-------------------------------------------------------------------------------------
       AllScenarios |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
          Condition |   .0586581   .0193973     3.02   0.003     .0205968    .0967195
              elite |  -.0560095   .0231931    -2.41   0.016    -.1015189   -.0105002
                    |
c.Condition#c.elite |   .0881752   .0337669     2.61   0.009      .021918    .1544324
                    |
              _cons |   .5976444   .0133667    44.71   0.000     .5714163    .6238725
-------------------------------------------------------------------------------------

. 
. * Column (2): Adding Policy Attitude Control variables
. logit KoreaForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery  if correct == 1

Iteration 0:   log likelihood = -634.45519  
Iteration 1:   log likelihood = -592.64955  
Iteration 2:   log likelihood = -591.26366  
Iteration 3:   log likelihood = -591.25803  
Iteration 4:   log likelihood = -591.25803  

Logistic regression                             Number of obs     =      1,090
                                                LR chi2(6)        =      86.39
                                                Prob > chi2       =     0.0000
Log likelihood = -591.25803                     Pseudo R2         =     0.0681

-----------------------------------------------------------------------------------------
             KoreaForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .0255172   .1657135     0.15   0.878    -.2992752    .3503097
                  elite |   .2124559   .2189186     0.97   0.332    -.2166167    .6415286
                        |
    c.Condition#c.elite |   .7411448   .3340716     2.22   0.027     .0863766    1.395913
                        |
             activepart |   .8594897   .1770942     4.85   0.000     .5123913    1.206588
       strengthenunvery |  -.4224569   .1654191    -2.55   0.011    -.7466723   -.0982415
superiormilapproachvery |   .7125964   .1488561     4.79   0.000     .4208439    1.004349
                  _cons |  -.0186138   .1769785    -0.11   0.916    -.3654852    .3282576
-----------------------------------------------------------------------------------------

. logit GenocideForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery  if correct == 1

Iteration 0:   log likelihood =  -594.2435  
Iteration 1:   log likelihood = -562.69229  
Iteration 2:   log likelihood = -561.58091  
Iteration 3:   log likelihood = -561.57694  
Iteration 4:   log likelihood = -561.57694  

Logistic regression                             Number of obs     =      1,086
                                                LR chi2(6)        =      65.33
                                                Prob > chi2       =     0.0000
Log likelihood = -561.57694                     Pseudo R2         =     0.0550

-----------------------------------------------------------------------------------------
          GenocideForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .6198524   .1802223     3.44   0.001     .2666232    .9730816
                  elite |   .1776489   .2083886     0.85   0.394    -.2307853    .5860831
                        |
    c.Condition#c.elite |   .4539123   .3359021     1.35   0.177    -.2044437    1.112268
                        |
             activepart |   .4453045   .1844995     2.41   0.016     .0836921    .8069169
       strengthenunvery |    .942903   .2085294     4.52   0.000     .5341929    1.351613
superiormilapproachvery |   .0255642   .1486935     0.17   0.863    -.2658696    .3169981
                  _cons |   .2411895   .1829793     1.32   0.187    -.1174434    .5998224
-----------------------------------------------------------------------------------------

. logit IsraelForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery  if correct == 1

Iteration 0:   log likelihood = -719.89201  
Iteration 1:   log likelihood = -670.64828  
Iteration 2:   log likelihood = -670.20544  
Iteration 3:   log likelihood = -670.20542  

Logistic regression                             Number of obs     =      1,083
                                                LR chi2(6)        =      99.37
                                                Prob > chi2       =     0.0000
Log likelihood = -670.20542                     Pseudo R2         =     0.0690

-----------------------------------------------------------------------------------------
            IsraelForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .3173918   .1625075     1.95   0.051    -.0011169    .6359006
                  elite |  -.5266463   .1978418    -2.66   0.008     -.914409   -.1388835
                        |
    c.Condition#c.elite |   .2846535   .2773697     1.03   0.305    -.2589812    .8282882
                        |
             activepart |    .680279   .1760838     3.86   0.000     .3351611    1.025397
       strengthenunvery |  -.6570557   .1572166    -4.18   0.000    -.9651945   -.3489169
superiormilapproachvery |   .9920243   .1360277     7.29   0.000     .7254148    1.258634
                  _cons |   -.320091   .1754279    -1.82   0.068    -.6639235    .0237414
-----------------------------------------------------------------------------------------

. logit IranForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery  if correct == 1

Iteration 0:   log likelihood = -737.66794  
Iteration 1:   log likelihood =  -652.9264  
Iteration 2:   log likelihood = -652.58818  
Iteration 3:   log likelihood = -652.58814  

Logistic regression                             Number of obs     =      1,084
                                                LR chi2(6)        =     170.16
                                                Prob > chi2       =     0.0000
Log likelihood = -652.58814                     Pseudo R2         =     0.1153

-----------------------------------------------------------------------------------------
              IranForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .1604914   .1657615     0.97   0.333    -.1643951     .485378
                  elite |  -1.303468   .2066969    -6.31   0.000    -1.708586   -.8983494
                        |
    c.Condition#c.elite |    .795162   .2813268     2.83   0.005     .2437716    1.346552
                        |
             activepart |  -.1648373   .1846207    -0.89   0.372    -.5266872    .1970126
       strengthenunvery |  -.0917292   .1622658    -0.57   0.572    -.4097644    .2263059
superiormilapproachvery |    1.44268   .1421059    10.15   0.000     1.164157    1.721202
                  _cons |    .136924   .1816224     0.75   0.451    -.2190493    .4928973
-----------------------------------------------------------------------------------------

. logit IraqSyriaForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery if correct == 1

Iteration 0:   log likelihood = -731.80883  
Iteration 1:   log likelihood = -688.21508  
Iteration 2:   log likelihood = -687.94127  
Iteration 3:   log likelihood = -687.94118  
Iteration 4:   log likelihood = -687.94118  

Logistic regression                             Number of obs     =      1,085
                                                LR chi2(6)        =      87.74
                                                Prob > chi2       =     0.0000
Log likelihood = -687.94118                     Pseudo R2         =     0.0599

-----------------------------------------------------------------------------------------
         IraqSyriaForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .3365083   .1593535     2.11   0.035     .0241813    .6488354
                  elite |   -.507498   .1925095    -2.64   0.008    -.8848097   -.1301863
                        |
    c.Condition#c.elite |   .6371374   .2743234     2.32   0.020     .0994733    1.174801
                        |
             activepart |   .1619653   .1743476     0.93   0.353    -.1797497    .5036802
       strengthenunvery |   .0322043   .1572284     0.20   0.838    -.2759576    .3403663
superiormilapproachvery |   1.050955   .1341619     7.83   0.000     .7880022    1.313907
                  _cons |  -.2655507   .1748668    -1.52   0.129    -.6082833    .0771819
-----------------------------------------------------------------------------------------

. logit OilForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery if  correct == 1

Iteration 0:   log likelihood = -703.25024  
Iteration 1:   log likelihood = -639.85872  
Iteration 2:   log likelihood = -639.10977  
Iteration 3:   log likelihood =  -639.1091  
Iteration 4:   log likelihood =  -639.1091  

Logistic regression                             Number of obs     =      1,085
                                                LR chi2(6)        =     128.28
                                                Prob > chi2       =     0.0000
Log likelihood =  -639.1091                     Pseudo R2         =     0.0912

-----------------------------------------------------------------------------------------
               OilForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .2283846   .1644925     1.39   0.165    -.0940148     .550784
                  elite |  -.4179306   .2120247    -1.97   0.049    -.8334913   -.0023699
                        |
    c.Condition#c.elite |   .1215915   .2900502     0.42   0.675    -.4468965    .6900794
                        |
             activepart |  -.3648415   .1797241    -2.03   0.042    -.7170943   -.0125887
       strengthenunvery |  -.1640612    .169092    -0.97   0.332    -.4954754    .1673529
superiormilapproachvery |   1.401576   .1372067    10.22   0.000     1.132656    1.670496
                  _cons |   -.957695   .1842344    -5.20   0.000    -1.318788   -.5966022
-----------------------------------------------------------------------------------------

. logit HumanForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery  if  correct == 1    

Iteration 0:   log likelihood = -660.65579  
Iteration 1:   log likelihood = -625.18148  
Iteration 2:   log likelihood = -624.43227  
Iteration 3:   log likelihood = -624.43076  
Iteration 4:   log likelihood = -624.43076  

Logistic regression                             Number of obs     =      1,085
                                                LR chi2(6)        =      72.45
                                                Prob > chi2       =     0.0000
Log likelihood = -624.43076                     Pseudo R2         =     0.0548

-----------------------------------------------------------------------------------------
             HumanForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .4159689   .1682801     2.47   0.013     .0861459    .7457919
                  elite |  -.1026865   .1968017    -0.52   0.602    -.4884106    .2830377
                        |
    c.Condition#c.elite |   .6634551   .3026762     2.19   0.028     .0702207     1.25669
                        |
             activepart |   .5644849   .1753184     3.22   0.001     .2208672    .9081027
       strengthenunvery |   .7760536   .1853856     4.19   0.000     .4127044    1.139403
superiormilapproachvery |  -.3725839    .138027    -2.70   0.007    -.6431119    -.102056
                  _cons |   .1779318   .1765198     1.01   0.313    -.1680407    .5239043
-----------------------------------------------------------------------------------------

. reg AllScenarios C.Condition##C.elite activepart strengthenunvery superiormilapproachvery  if  correct == 1  

      Source |       SS           df       MS      Number of obs   =     1,067
-------------+----------------------------------   F(6, 1060)      =     28.36
       Model |  10.2308242         6  1.70513737   Prob > F        =    0.0000
    Residual |  63.7312281     1,060    .0601238   R-squared       =    0.1383
-------------+----------------------------------   Adj R-squared   =    0.1334
       Total |  73.9620523     1,066  .069382788   Root MSE        =     .2452

-----------------------------------------------------------------------------------------
           AllScenarios |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .0608055   .0183825     3.31   0.001     .0247353    .0968757
                  elite |  -.0778337   .0229293    -3.39   0.001    -.1228256   -.0328418
                        |
    c.Condition#c.elite |   .0967955   .0319742     3.03   0.003     .0340557    .1595354
                        |
             activepart |   .0665309    .020311     3.28   0.001     .0266765    .1063852
       strengthenunvery |   .0038082   .0183488     0.21   0.836    -.0321959    .0398124
superiormilapproachvery |   .1624745   .0152351    10.66   0.000     .1325802    .1923688
                  _cons |   .4755796   .0206199    23.06   0.000     .4351191    .5160401
-----------------------------------------------------------------------------------------

. 
. * Column (3): Adding Partisanship
. logit KoreaForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery democrat if correct == 1

Iteration 0:   log likelihood = -627.06867  
Iteration 1:   log likelihood = -585.05076  
Iteration 2:   log likelihood = -583.74028  
Iteration 3:   log likelihood = -583.73433  
Iteration 4:   log likelihood = -583.73433  

Logistic regression                             Number of obs     =      1,076
                                                LR chi2(7)        =      86.67
                                                Prob > chi2       =     0.0000
Log likelihood = -583.73433                     Pseudo R2         =     0.0691

-----------------------------------------------------------------------------------------
             KoreaForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .0151196   .1661673     0.09   0.928    -.3105624    .3408016
                  elite |   .2300385   .2251357     1.02   0.307    -.2112195    .6712964
                        |
    c.Condition#c.elite |   .6548687    .337953     1.94   0.053    -.0075071    1.317244
                        |
             activepart |   .8341083   .1785987     4.67   0.000     .4840613    1.184155
       strengthenunvery |  -.4680602   .1717519    -2.73   0.006    -.8046878   -.1314326
superiormilapproachvery |   .7550577   .1520238     4.97   0.000     .4570965    1.053019
               democrat |   .1818787   .1568661     1.16   0.246    -.1255733    .4893307
                  _cons |  -.0639181   .1805316    -0.35   0.723    -.4177536    .2899173
-----------------------------------------------------------------------------------------

. logit GenocideForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery democrat if correct == 1

Iteration 0:   log likelihood = -588.38775  
Iteration 1:   log likelihood = -553.39603  
Iteration 2:   log likelihood = -552.09127  
Iteration 3:   log likelihood = -552.08721  
Iteration 4:   log likelihood = -552.08721  

Logistic regression                             Number of obs     =      1,073
                                                LR chi2(7)        =      72.60
                                                Prob > chi2       =     0.0000
Log likelihood = -552.08721                     Pseudo R2         =     0.0617

-----------------------------------------------------------------------------------------
          GenocideForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .5979299   .1810721     3.30   0.001     .2430352    .9528247
                  elite |   .1021825   .2134087     0.48   0.632    -.3160909    .5204559
                        |
    c.Condition#c.elite |    .395802   .3393851     1.17   0.244    -.2693806    1.060985
                        |
             activepart |   .3770589   .1860404     2.03   0.043     .0124264    .7416915
       strengthenunvery |   .8034612   .2134442     3.76   0.000     .3851183    1.221804
superiormilapproachvery |   .1348705   .1529239     0.88   0.378    -.1648549    .4345959
               democrat |   .5336417   .1686999     3.16   0.002      .202996    .8642874
                  _cons |   .1188036   .1870514     0.64   0.525    -.2478103    .4854175
-----------------------------------------------------------------------------------------

. logit IsraelForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery democrat if correct == 1

Iteration 0:   log likelihood = -710.26519  
Iteration 1:   log likelihood = -661.06029  
Iteration 2:   log likelihood = -660.61383  
Iteration 3:   log likelihood = -660.61381  

Logistic regression                             Number of obs     =      1,069
                                                LR chi2(7)        =      99.30
                                                Prob > chi2       =     0.0000
Log likelihood = -660.61381                     Pseudo R2         =     0.0699

-----------------------------------------------------------------------------------------
            IsraelForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .3249405   .1628915     1.99   0.046      .005679    .6442021
                  elite |  -.4934654   .2020537    -2.44   0.015    -.8894835   -.0974473
                        |
    c.Condition#c.elite |   .2658694   .2811574     0.95   0.344     -.285189    .8169279
                        |
             activepart |   .7012594    .177739     3.95   0.000     .3528975    1.049621
       strengthenunvery |   -.632081   .1626565    -3.89   0.000    -.9508819   -.3132802
superiormilapproachvery |   .9823903   .1386656     7.08   0.000     .7106106     1.25417
               democrat |  -.1191488   .1423102    -0.84   0.402    -.3980717     .159774
                  _cons |   -.297696   .1781708    -1.67   0.095    -.6469043    .0515123
-----------------------------------------------------------------------------------------

. logit IranForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery democrat if correct == 1

Iteration 0:   log likelihood = -727.78302  
Iteration 1:   log likelihood = -641.12671  
Iteration 2:   log likelihood = -640.78226  
Iteration 3:   log likelihood =  -640.7822  

Logistic regression                             Number of obs     =      1,070
                                                LR chi2(7)        =     174.00
                                                Prob > chi2       =     0.0000
Log likelihood =  -640.7822                     Pseudo R2         =     0.1195

-----------------------------------------------------------------------------------------
              IranForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |    .188056   .1665354     1.13   0.259    -.1383475    .5144595
                  elite |  -1.240042   .2109727    -5.88   0.000    -1.653541   -.8265428
                        |
    c.Condition#c.elite |   .8154643   .2860948     2.85   0.004     .2547288      1.3762
                        |
             activepart |  -.1028159   .1862558    -0.55   0.581    -.4678706    .2622389
       strengthenunvery |     .05192   .1678569     0.31   0.757    -.2770734    .3809134
superiormilapproachvery |   1.369965   .1443083     9.49   0.000     1.087126    1.652804
               democrat |  -.4243438   .1437848    -2.95   0.003    -.7061568   -.1425308
                  _cons |   .2210852   .1842249     1.20   0.230     -.139989    .5821593
-----------------------------------------------------------------------------------------

. logit IraqSyriaForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery democrat if correct == 1

Iteration 0:   log likelihood = -721.83656  
Iteration 1:   log likelihood = -676.51665  
Iteration 2:   log likelihood = -676.20357  
Iteration 3:   log likelihood = -676.20344  
Iteration 4:   log likelihood = -676.20344  

Logistic regression                             Number of obs     =      1,071
                                                LR chi2(7)        =      91.27
                                                Prob > chi2       =     0.0000
Log likelihood = -676.20344                     Pseudo R2         =     0.0632

-----------------------------------------------------------------------------------------
         IraqSyriaForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .3524945   .1601268     2.20   0.028     .0386517    .6663373
                  elite |  -.4281281   .1969531    -2.17   0.030     -.814149   -.0421071
                        |
    c.Condition#c.elite |   .6051474   .2786243     2.17   0.030     .0590538    1.151241
                        |
             activepart |    .183324   .1762157     1.04   0.298    -.1620524    .5287003
       strengthenunvery |   .1400435   .1633858     0.86   0.391    -.1801868    .4602737
superiormilapproachvery |   1.059401   .1373161     7.72   0.000     .7902662    1.328535
               democrat |   -.203704   .1409727    -1.44   0.148    -.4800054    .0725974
                  _cons |  -.2485473   .1779019    -1.40   0.162    -.5972285     .100134
-----------------------------------------------------------------------------------------

. logit OilForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery democrat if  correct == 1

Iteration 0:   log likelihood =  -692.2631  
Iteration 1:   log likelihood =  -627.4392  
Iteration 2:   log likelihood = -626.58049  
Iteration 3:   log likelihood =  -626.5795  
Iteration 4:   log likelihood =  -626.5795  

Logistic regression                             Number of obs     =      1,071
                                                LR chi2(7)        =     131.37
                                                Prob > chi2       =     0.0000
Log likelihood =  -626.5795                     Pseudo R2         =     0.0949

-----------------------------------------------------------------------------------------
               OilForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .2353863   .1649609     1.43   0.154    -.0879312    .5587038
                  elite |  -.4919858   .2191861    -2.24   0.025    -.9215827   -.0623888
                        |
    c.Condition#c.elite |   .2000055   .2964904     0.67   0.500     -.381105     .781116
                        |
             activepart |  -.3518242   .1810063    -1.94   0.052    -.7065899    .0029415
       strengthenunvery |  -.1478444   .1769768    -0.84   0.403    -.4947125    .1990237
superiormilapproachvery |   1.397544   .1404734     9.95   0.000     1.122221    1.672867
               democrat |  -.1121902   .1510984    -0.74   0.458    -.4083376    .1839573
                  _cons |  -.9349287   .1873255    -4.99   0.000     -1.30208   -.5677775
-----------------------------------------------------------------------------------------

. logit HumanForce C.Condition##C.elite activepart strengthenunvery superiormilapproachvery democrat if  correct == 1    

Iteration 0:   log likelihood = -653.13042  
Iteration 1:   log likelihood = -613.35059  
Iteration 2:   log likelihood = -612.43103  
Iteration 3:   log likelihood = -612.42872  
Iteration 4:   log likelihood = -612.42872  

Logistic regression                             Number of obs     =      1,071
                                                LR chi2(7)        =      81.40
                                                Prob > chi2       =     0.0000
Log likelihood = -612.42872                     Pseudo R2         =     0.0623

-----------------------------------------------------------------------------------------
             HumanForce |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .3941723   .1691238     2.33   0.020     .0626958    .7256488
                  elite |  -.1892988   .2019158    -0.94   0.348    -.5850465     .206449
                        |
    c.Condition#c.elite |    .662788   .3079037     2.15   0.031     .0593078    1.266268
                        |
             activepart |   .5031224   .1767318     2.85   0.004     .1567343    .8495105
       strengthenunvery |   .6594527   .1919948     3.43   0.001     .2831498    1.035756
superiormilapproachvery |  -.2947601   .1415792    -2.08   0.037    -.5722502     -.01727
               democrat |    .479129   .1553759     3.08   0.002     .1745979    .7836601
                  _cons |   .0726023   .1802337     0.40   0.687    -.2806493     .425854
-----------------------------------------------------------------------------------------

. reg AllScenarios C.Condition##C.elite activepart strengthenunvery superiormilapproachvery democrat if  correct == 1  

      Source |       SS           df       MS      Number of obs   =     1,054
-------------+----------------------------------   F(7, 1046)      =     24.12
       Model |  10.1582709         7  1.45118156   Prob > F        =    0.0000
    Residual |  62.9454153     1,046  .060177261   R-squared       =    0.1390
-------------+----------------------------------   Adj R-squared   =    0.1332
       Total |  73.1036863     1,053  .069424203   Root MSE        =    .24531

-----------------------------------------------------------------------------------------
           AllScenarios |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              Condition |   .0606683   .0184159     3.29   0.001     .0245321    .0968045
                  elite |  -.0779658   .0233603    -3.34   0.001    -.1238042   -.0321273
                        |
    c.Condition#c.elite |   .0950771   .0324066     2.93   0.003     .0314877    .1586665
                        |
             activepart |   .0655005    .020458     3.20   0.001     .0253571    .1056439
       strengthenunvery |   .0049704   .0190317     0.26   0.794    -.0323743    .0423151
superiormilapproachvery |   .1648656   .0155568    10.60   0.000     .1343395    .1953916
               democrat |   .0034891   .0165145     0.21   0.833    -.0289163    .0358944
                  _cons |   .4737571   .0209479    22.62   0.000     .4326524    .5148619
-----------------------------------------------------------------------------------------

. 
. *** Table B7. Effect of UNSC Authorization on Support for the Use of Force: Including Manipulation Check Failures
. 
. * Elites
. tab KoreaForce Condition if elite == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        51         29 |        80 
           |     22.87      14.29 |     18.78 
-----------+----------------------+----------
     Favor |       172        174 |       346 
           |     77.13      85.71 |     81.22 
-----------+----------------------+----------
     Total |       223        203 |       426 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.1339   Pr = 0.023

. tab GenocideForce Condition if elite == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        61         29 |        90 
           |     27.98      14.22 |     21.33 
-----------+----------------------+----------
     Favor |       157        175 |       332 
           |     72.02      85.78 |     78.67 
-----------+----------------------+----------
     Total |       218        204 |       422 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  11.9023   Pr = 0.001

. tab IsraelForce Condition if elite == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        99         63 |       162 
           |     45.41      31.19 |     38.57 
-----------+----------------------+----------
     Favor |       119        139 |       258 
           |     54.59      68.81 |     61.43 
-----------+----------------------+----------
     Total |       218        202 |       420 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   8.9539   Pr = 0.003

. tab IranForce  Condition if elite == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       143         90 |       233 
           |     65.00      44.78 |     55.34 
-----------+----------------------+----------
     Favor |        77        111 |       188 
           |     35.00      55.22 |     44.66 
-----------+----------------------+----------
     Total |       220        201 |       421 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  17.3827   Pr = 0.000

. tab IraqSyriaForce Condition if elite == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       117         64 |       181 
           |     52.70      32.16 |     42.99 
-----------+----------------------+----------
     Favor |       105        135 |       240 
           |     47.30      67.84 |     57.01 
-----------+----------------------+----------
     Total |       222        199 |       421 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  18.0667   Pr = 0.000

. tab OilForce Condition if elite == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       162        138 |       300 
           |     73.30      68.66 |     71.09 
-----------+----------------------+----------
     Favor |        59         63 |       122 
           |     26.70      31.34 |     28.91 
-----------+----------------------+----------
     Total |       221        201 |       422 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.1058   Pr = 0.293

. tab HumanForce Condition if elite == 1 , chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        81         37 |       118 
           |     37.16      18.14 |     27.96 
-----------+----------------------+----------
         1 |       137        167 |       304 
           |     62.84      81.86 |     72.04 
-----------+----------------------+----------
     Total |       218        204 |       422 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  18.9237   Pr = 0.000

. ttest AllScenarios if elite == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |     210    .5326531     .017565    .2545415    .4980257    .5672804
      UN |     190    .6827068     .016563    .2283057    .6500346    .7153789
---------+--------------------------------------------------------------------
combined |     400    .6039286    .0126745    .2534905    .5790114    .6288458
---------+--------------------------------------------------------------------
    diff |           -.1500537    .0242741               -.1977751   -.1023323
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -6.1816
Ho: diff = 0                                     degrees of freedom =      398

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 1.0000

. 
. * Public
. tab KoreaForce Condition if elite == 0, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       181        178 |       359 
           |     36.27      35.53 |     35.90 
-----------+----------------------+----------
     Favor |       318        323 |       641 
           |     63.73      64.47 |     64.10 
-----------+----------------------+----------
     Total |       499        501 |     1,000 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.0601   Pr = 0.806

. tab GenocideForce Condition if elite == 0, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       147        113 |       260 
           |     29.46      22.55 |     26.00 
-----------+----------------------+----------
     Favor |       352        388 |       740 
           |     70.54      77.45 |     74.00 
-----------+----------------------+----------
     Total |       499        501 |     1,000 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   6.1935   Pr = 0.013

. tab IsraelForce Condition if elite == 0, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       212        191 |       403 
           |     42.48      38.12 |     40.30 
-----------+----------------------+----------
     Favor |       287        310 |       597 
           |     57.52      61.88 |     59.70 
-----------+----------------------+----------
     Total |       499        501 |     1,000 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.9764   Pr = 0.160

. tab IranForce  Condition if elite == 0, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       167        157 |       324 
           |     33.47      31.34 |     32.40 
-----------+----------------------+----------
     Favor |       332        344 |       676 
           |     66.53      68.66 |     67.60 
-----------+----------------------+----------
     Total |       499        501 |     1,000 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   0.5177   Pr = 0.472

. tab IraqSyriaForce Condition if elite == 0, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       209        174 |       383 
           |     41.88      34.73 |     38.30 
-----------+----------------------+----------
     Favor |       290        327 |       617 
           |     58.12      65.27 |     61.70 
-----------+----------------------+----------
     Total |       499        501 |     1,000 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.4133   Pr = 0.020

. tab OilForce Condition if elite == 0, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |       298        279 |       577 
           |     59.72      55.69 |     57.70 
-----------+----------------------+----------
     Favor |       201        222 |       423 
           |     40.28      44.31 |     42.30 
-----------+----------------------+----------
     Total |       499        501 |     1,000 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   1.6642   Pr = 0.197

. tab HumanForce Condition if elite == 0, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |       166        135 |       301 
           |     33.27      26.95 |     30.10 
-----------+----------------------+----------
         1 |       333        366 |       699 
           |     66.73      73.05 |     69.90 
-----------+----------------------+----------
     Total |       499        501 |     1,000 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   4.7466   Pr = 0.029

. ttest AllScenarios if elite == 0, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |     499    .6049241    .0115755    .2585769    .5821813     .627667
      UN |     501    .6501283    .0117545    .2631018     .627034    .6732227
---------+--------------------------------------------------------------------
combined |   1,000    .6275714    .0082757    .2617019    .6113316    .6438113
---------+--------------------------------------------------------------------
    diff |           -.0452042    .0164979               -.0775787   -.0128297
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -2.7400
Ho: diff = 0                                     degrees of freedom =      998

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0031         Pr(|T| > |t|) = 0.0063          Pr(T > t) = 0.9969

. 
. * Executive Branch Experience
. tab KoreaForce Condition if Exec == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  If North |
     Korea |
   Invaded |     Experimental
     South |       Condition
     Korea | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        16          6 |        22 
           |     21.62       8.11 |     14.86 
-----------+----------------------+----------
     Favor |        58         68 |       126 
           |     78.38      91.89 |     85.14 
-----------+----------------------+----------
     Total |        74         74 |       148 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.3391   Pr = 0.021

. tab GenocideForce Condition if Exec == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Stop a |
Government |
      From |     Experimental
Committing |       Condition
  Genocide | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        27         15 |        42 
           |     37.50      20.27 |     28.77 
-----------+----------------------+----------
     Favor |        45         59 |       104 
           |     62.50      79.73 |     71.23 
-----------+----------------------+----------
     Total |        72         74 |       146 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   5.2868   Pr = 0.021

. tab IsraelForce Condition if Exec == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 If Israel |     Experimental
      Were |       Condition
  Attacked | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        30         15 |        45 
           |     40.00      20.55 |     30.41 
-----------+----------------------+----------
     Favor |        45         58 |       103 
           |     60.00      79.45 |     69.59 
-----------+----------------------+----------
     Total |        75         73 |       148 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   6.6150   Pr = 0.010

. tab IranForce  Condition if Exec == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Stop |
 Iran from |
 Obtaining |     Experimental
   Nuclear |       Condition
   Weapons | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        48         22 |        70 
           |     64.00      30.56 |     47.62 
-----------+----------------------+----------
     Favor |        27         50 |        77 
           |     36.00      69.44 |     52.38 
-----------+----------------------+----------
     Total |        75         72 |       147 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  16.4729   Pr = 0.000

. tab IraqSyriaForce Condition if Exec == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  To Fight |
   Violent |
   Islamic |
 Extremist |
 Groups in |     Experimental
  Iraq and |       Condition
     Syria | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        43         19 |        62 
           |     56.58      26.39 |     41.89 
-----------+----------------------+----------
     Favor |        33         53 |        86 
           |     43.42      73.61 |     58.11 
-----------+----------------------+----------
     Total |        76         72 |       148 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  13.8435   Pr = 0.000

. tab OilForce Condition if Exec == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

 To Ensure |     Experimental
   the Oil |       Condition
    Supply | Unilatera         UN |     Total
-----------+----------------------+----------
    Oppose |        56         44 |       100 
           |     74.67      61.11 |     68.03 
-----------+----------------------+----------
     Favor |        19         28 |        47 
           |     25.33      38.89 |     31.97 
-----------+----------------------+----------
     Total |        75         72 |       147 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =   3.1035   Pr = 0.078

. tab HumanForce Condition if Exec == 1, chi2 col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

   To Deal |
      with |     Experimental
Humanitari |       Condition
 an Crises | Unilatera         UN |     Total
-----------+----------------------+----------
         0 |        37         16 |        53 
           |     50.00      21.62 |     35.81 
-----------+----------------------+----------
         1 |        37         58 |        95 
           |     50.00      78.38 |     64.19 
-----------+----------------------+----------
     Total |        74         74 |       148 
           |    100.00     100.00 |    100.00 

          Pearson chi2(1) =  12.9629   Pr = 0.000

. ttest AllScenarios if Exec == 1, by(Condition)

Two-sample t test with equal variances
------------------------------------------------------------------------------
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
Unilater |      70          .5    .0308675    .2582562     .438421     .561579
      UN |      68    .7310924    .0260126    .2145051    .6791712    .7830137
---------+--------------------------------------------------------------------
combined |     138    .6138716    .0224479    .2637035    .5694824    .6582609
---------+--------------------------------------------------------------------
    diff |           -.2310924    .0404748               -.3111339    -.151051
------------------------------------------------------------------------------
    diff = mean(Unilater) - mean(UN)                              t =  -5.7095
Ho: diff = 0                                     degrees of freedom =      136

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 1.0000

. 
. *** Table B8. Descriptive Statistics for the U.S. Public (Pre- and Post-Presidential Election)
. 
. * CCGA Public Survey Figures From Smeltz et al. 2016. 
. 
. * YouGov Public Survey (May-June 2017)
. svyset [pweight = weight]

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: mean activepart
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1        Number of obs   =        995
Number of PSUs   =     995        Population size = 996.334578
                                  Design df       =        994

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
  activepart |    .694174   .0205146      .6539172    .7344308
--------------------------------------------------------------

. svy: mean strengthenunvery
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1        Number of obs   =      1,000
Number of PSUs   =   1,000        Population size =      1,000
                                  Design df       =        999

------------------------------------------------------------------
                 |             Linearized
                 |       Mean   Std. Err.     [95% Conf. Interval]
-----------------+------------------------------------------------
strengthenunvery |   .2872704   .0192321      .2495304    .3250104
------------------------------------------------------------------

. svy: mean superiormilapproachvery
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1        Number of obs   =      1,000
Number of PSUs   =   1,000        Population size =      1,000
                                  Design df       =        999

-------------------------------------------------------------------------
                        |             Linearized
                        |       Mean   Std. Err.     [95% Conf. Interval]
------------------------+------------------------------------------------
superiormilapproachvery |   .4388915   .0214375      .3968237    .4809593
-------------------------------------------------------------------------

. 
. log close 
      name:  <unnamed>
       log:  /Users/jonathanmonten/Dropbox/ccga survey project/Survey Experiment Paper/FPA/Replication/FPAReplication.log
  log type:  text
 closed on:  26 Jul 2018, 11:03:47
-------------------------------------------------------------------------------------------------------------------------------------------------
